diff --git a/docs/tutorials/image_processing.ipynb b/docs/tutorials/image_processing.ipynb
index 61ae77e0f..d306ca154 100644
--- a/docs/tutorials/image_processing.ipynb
+++ b/docs/tutorials/image_processing.ipynb
@@ -31,7 +31,7 @@
    "source": [
     "from safeds.data.image.containers import Image\n",
     "\n",
-    "plane = Image.from_png_file(\"data/plane.png\")\n",
+    "plane = Image.from_file(\"data/plane.png\")\n",
     "plane"
    ]
   },
@@ -175,7 +175,7 @@
    "execution_count": null,
    "outputs": [],
    "source": [
-    "plane.adjust_color_balance(0.5)"
+    "# plane.adjust_color_balance(0.5)"
    ],
    "metadata": {
     "collapsed": false
@@ -280,7 +280,7 @@
    "execution_count": null,
    "outputs": [],
    "source": [
-    "plane.find_edges()\n"
+    "# plane.find_edges()\n"
    ],
    "metadata": {
     "collapsed": false
@@ -289,7 +289,7 @@
   {
    "cell_type": "markdown",
    "source": [
-    "13. Add gaussian noise to the `Image`. A higher `standard_deviation` will result in a noisier `Image`:\n"
+    "13. Add noise to the `Image`. A higher `standard_deviation` will result in a noisier `Image`:\n"
    ],
    "metadata": {
     "collapsed": false
@@ -300,7 +300,7 @@
    "execution_count": null,
    "outputs": [],
    "source": [
-    "plane.add_gaussian_noise(standard_deviation=0.1)\n"
+    "plane.add_noise(standard_deviation=0.1)\n"
    ],
    "metadata": {
     "collapsed": false
diff --git a/poetry.lock b/poetry.lock
index 6c0d01e29..a3390dccb 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,14 +1,14 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand.
 
 [[package]]
 name = "anyio"
-version = "4.0.0"
+version = "4.2.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "anyio-4.0.0-py3-none-any.whl", hash = "sha256:cfdb2b588b9fc25ede96d8db56ed50848b0b649dca3dd1df0b11f683bb9e0b5f"},
-    {file = "anyio-4.0.0.tar.gz", hash = "sha256:f7ed51751b2c2add651e5747c891b47e26d2a21be5d32d9311dfe9692f3e5d7a"},
+    {file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"},
+    {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
 ]
 
 [package.dependencies]
@@ -16,9 +16,9 @@ idna = ">=2.8"
 sniffio = ">=1.1"
 
 [package.extras]
-doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (>=0.22)"]
+doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
+trio = ["trio (>=0.23)"]
 
 [[package]]
 name = "appnope"
@@ -138,31 +138,32 @@ files = [
 
 [[package]]
 name = "attrs"
-version = "23.1.0"
+version = "23.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"},
-    {file = "attrs-23.1.0.tar.gz", hash = "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"},
+    {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
+    {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
 ]
 
 [package.extras]
 cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[docs,tests]", "pre-commit"]
+dev = ["attrs[tests]", "pre-commit"]
 docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
 tests = ["attrs[tests-no-zope]", "zope-interface"]
-tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
+tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
 
 [[package]]
 name = "babel"
-version = "2.13.1"
+version = "2.14.0"
 description = "Internationalization utilities"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "Babel-2.13.1-py3-none-any.whl", hash = "sha256:7077a4984b02b6727ac10f1f7294484f737443d7e2e66c5e4380e41a3ae0b4ed"},
-    {file = "Babel-2.13.1.tar.gz", hash = "sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900"},
+    {file = "Babel-2.14.0-py3-none-any.whl", hash = "sha256:efb1a25b7118e67ce3a259bed20545c29cb68be8ad2c784c83689981b7a57287"},
+    {file = "Babel-2.14.0.tar.gz", hash = "sha256:6919867db036398ba21eb5c7a0f6b28ab8cbc3ae7a73a44ebe34ae74a4e7d363"},
 ]
 
 [package.extras]
@@ -206,13 +207,13 @@ css = ["tinycss2 (>=1.1.0,<1.3)"]
 
 [[package]]
 name = "certifi"
-version = "2023.7.22"
+version = "2023.11.17"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2023.7.22-py3-none-any.whl", hash = "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"},
-    {file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"},
+    {file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
+    {file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
 ]
 
 [[package]]
@@ -392,6 +393,35 @@ files = [
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
+[[package]]
+name = "cmake"
+version = "3.28.1"
+description = "CMake is an open-source, cross-platform family of tools designed to build, test and package software"
+optional = false
+python-versions = "*"
+files = [
+    {file = "cmake-3.28.1-py2.py3-none-macosx_10_10_universal2.macosx_10_10_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl", hash = "sha256:9c77c47afef821c0044ba73d182c386ab02e92e6bda5296e553c12455a083f29"},
+    {file = "cmake-3.28.1-py2.py3-none-manylinux2010_i686.manylinux_2_12_i686.whl", hash = "sha256:6a9549755d1178426502753d48949edae9bb0c66f15a07f09904783125beb0e3"},
+    {file = "cmake-3.28.1-py2.py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:d0978cdd08c0ebc76f4f8543aba1381a41580dcb9c3bcffb536c41337b75aea1"},
+    {file = "cmake-3.28.1-py2.py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:96d506c417d63bbcff19b3e9eaa69fe546456a0ddeffe914bcbb23cceee6818e"},
+    {file = "cmake-3.28.1-py2.py3-none-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:74c9878c504ccc6ddd5b0914cbe3b86417a36a2c2dfc486040bfdfe63fbbb1ac"},
+    {file = "cmake-3.28.1-py2.py3-none-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:64d4642c48486bb4320540781a2266c2060929d1e236d6eb2b2c96273e75e958"},
+    {file = "cmake-3.28.1-py2.py3-none-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:363bd0124d71d7e3d9b1ac9bd1dce1d80ba90f48b264c3bf9dbfcfda875cafc9"},
+    {file = "cmake-3.28.1-py2.py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1be8f351271f8bcbe32288066e5add642d7c32f2f8fec3f135949c2cb13dfac2"},
+    {file = "cmake-3.28.1-py2.py3-none-musllinux_1_1_aarch64.whl", hash = "sha256:3ed193134a4937bad8de2b4f62faebc8c1a4049cd37dad9767db7e7d91a08b52"},
+    {file = "cmake-3.28.1-py2.py3-none-musllinux_1_1_i686.whl", hash = "sha256:6ffb1fdb0b0f7f11271d82b5892c2edc109d561e186f882def095970403e2110"},
+    {file = "cmake-3.28.1-py2.py3-none-musllinux_1_1_ppc64le.whl", hash = "sha256:9ea12ebe4b8266f04d6619ed64860bd6e687522f02caf3131515dd39d614ef00"},
+    {file = "cmake-3.28.1-py2.py3-none-musllinux_1_1_s390x.whl", hash = "sha256:2ad22d897d2ed38544e5ef26ee21c4dccc38e938660cd07497fd6bdba0993ea6"},
+    {file = "cmake-3.28.1-py2.py3-none-musllinux_1_1_x86_64.whl", hash = "sha256:379a730b274f39e5858ef2107861b2727918493347b0ccdd5f62bcbb6a8450d9"},
+    {file = "cmake-3.28.1-py2.py3-none-win32.whl", hash = "sha256:c82bc0eb1495cf518cb4f355b8a73e584e67d53453406c0498bacc454cf6c404"},
+    {file = "cmake-3.28.1-py2.py3-none-win_amd64.whl", hash = "sha256:bb03ed4753185d0c70c0bc3212e5533e20eb2c17fa0ca1e7603b702c6d0db8cf"},
+    {file = "cmake-3.28.1-py2.py3-none-win_arm64.whl", hash = "sha256:40f0671c05ef7eec27c4f53c63630b0b621e40f80ab38607d3a0e3a1f2c9242a"},
+    {file = "cmake-3.28.1.tar.gz", hash = "sha256:0d4051d101d151d8387156c463aa45c8cd0e164f870e0ac0c8c91d3ff08528e1"},
+]
+
+[package.extras]
+test = ["coverage (>=4.2)", "importlib-metadata (>=2.0)", "pytest (>=3.0.3)", "pytest-cov (>=2.4.0)"]
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -485,63 +515,63 @@ test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
 
 [[package]]
 name = "coverage"
-version = "7.3.2"
+version = "7.4.0"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 graphite = ["lz4 (>=1.7.4.2)"]
-interpolatable = ["munkres", "scipy"]
+interpolatable = ["munkres", "pycairo", "scipy"]
 lxml = ["lxml (>=4.0,<5)"]
 pathops = ["skia-pathops (>=0.5.0)"]
 plot = ["matplotlib"]
@@ -745,13 +791,13 @@ dev = ["flake8", "markdown", "twine", "wheel"]
 
 [[package]]
 name = "griffe"
-version = "0.38.0"
+version = "0.38.1"
 description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -759,24 +805,24 @@ colorama = ">=0.4"
 
 [[package]]
 name = "idna"
-version = "3.4"
+version = "3.6"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.5"
 files = [
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+    {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
 ]
 
 [[package]]
 name = "imageio"
-version = "2.31.5"
+version = "2.33.1"
 description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -784,17 +830,18 @@ numpy = "*"
 pillow = ">=8.3.2"
 
 [package.extras]
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-all-plugins-pypy = ["av", "imageio-ffmpeg", "psutil", "tifffile"]
+all-plugins = ["astropy", "av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
+all-plugins-pypy = ["av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
 build = ["wheel"]
 dev = ["black", "flake8", "fsspec[github]", "pytest", "pytest-cov"]
 docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"]
 ffmpeg = ["imageio-ffmpeg", "psutil"]
 fits = ["astropy"]
-full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpydoc", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "sphinx (<6)", "tifffile", "wheel"]
+full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpydoc", "pillow-heif", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "sphinx (<6)", "tifffile", "wheel"]
 gdal = ["gdal"]
 itk = ["itk"]
 linting = ["black", "flake8"]
+pillow-heif = ["pillow-heif"]
 pyav = ["av"]
 test = ["fsspec[github]", "pytest", "pytest-cov"]
 tifffile = ["tifffile"]
@@ -812,13 +859,13 @@ files = [
 
 [[package]]
 name = "ipykernel"
-version = "6.26.0"
+version = "6.28.0"
 description = "IPython Kernel for Jupyter"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "ipykernel-6.26.0-py3-none-any.whl", hash = "sha256:3ba3dc97424b87b31bb46586b5167b3161b32d7820b9201a9e698c71e271602c"},
-    {file = "ipykernel-6.26.0.tar.gz", hash = "sha256:553856658eb8430bbe9653ea041a41bff63e9606fc4628873fc92a6cf3abd404"},
+    {file = "ipykernel-6.28.0-py3-none-any.whl", hash = "sha256:c6e9a9c63a7f4095c0a22a79f765f079f9ec7be4f2430a898ddea889e8665661"},
+    {file = "ipykernel-6.28.0.tar.gz", hash = "sha256:69c11403d26de69df02225916f916b37ea4b9af417da0a8c827f84328d88e5f3"},
 ]
 
 [package.dependencies]
@@ -832,7 +879,7 @@ matplotlib-inline = ">=0.1"
 nest-asyncio = "*"
 packaging = "*"
 psutil = "*"
-pyzmq = ">=20"
+pyzmq = ">=24"
 tornado = ">=6.1"
 traitlets = ">=5.4.0"
 
@@ -987,13 +1034,13 @@ files = [
 
 [[package]]
 name = "jsonschema"
-version = "4.19.2"
+version = "4.20.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jsonschema-4.19.2-py3-none-any.whl", hash = "sha256:eee9e502c788e89cb166d4d37f43084e3b64ab405c795c03d343a4dbc2c810fc"},
-    {file = "jsonschema-4.19.2.tar.gz", hash = "sha256:c9ff4d7447eed9592c23a12ccee508baf0dd0d59650615e847feb6cdca74f392"},
+    {file = "jsonschema-4.20.0-py3-none-any.whl", hash = "sha256:ed6231f0429ecf966f5bc8dfef245998220549cbbcf140f913b7464c52c3b6b3"},
+    {file = "jsonschema-4.20.0.tar.gz", hash = "sha256:4f614fd46d8d61258610998997743ec5492a648b33cf478c1ddc23ed4598a5fa"},
 ]
 
 [package.dependencies]
@@ -1016,13 +1063,13 @@ format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-
 
 [[package]]
 name = "jsonschema-specifications"
-version = "2023.11.1"
+version = "2023.12.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jsonschema_specifications-2023.11.1-py3-none-any.whl", hash = "sha256:f596778ab612b3fd29f72ea0d990393d0540a5aab18bf0407a46632eab540779"},
-    {file = "jsonschema_specifications-2023.11.1.tar.gz", hash = "sha256:c9b234904ffe02f079bf91b14d79987faa685fd4b39c377a0996954c0090b9ca"},
+    {file = "jsonschema_specifications-2023.12.1-py3-none-any.whl", hash = "sha256:87e4fdf3a94858b8a2ba2778d9ba57d8a9cafca7c7489c46ba0d30a8bc6a9c3c"},
+    {file = "jsonschema_specifications-2023.12.1.tar.gz", hash = "sha256:48a76787b3e70f5ed53f1160d2b81f586e4ca6d1548c5de7085d1682674764cc"},
 ]
 
 [package.dependencies]
@@ -1096,13 +1143,13 @@ test = ["flaky", "pexpect", "pytest"]
 
 [[package]]
 name = "jupyter-core"
-version = "5.5.0"
+version = "5.5.1"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_core-5.5.0-py3-none-any.whl", hash = "sha256:e11e02cd8ae0a9de5c6c44abf5727df9f2581055afe00b22183f621ba3585805"},
-    {file = "jupyter_core-5.5.0.tar.gz", hash = "sha256:880b86053bf298a8724994f95e99b99130659022a4f7f45f563084b6223861d3"},
+    {file = "jupyter_core-5.5.1-py3-none-any.whl", hash = "sha256:220dfb00c45f0d780ce132bb7976b58263f81a3ada6e90a9b6823785a424f739"},
+    {file = "jupyter_core-5.5.1.tar.gz", hash = "sha256:1553311a97ccd12936037f36b9ab4d6ae8ceea6ad2d5c90d94a909e752178e40"},
 ]
 
 [package.dependencies]
@@ -1141,13 +1188,13 @@ test = ["click", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "p
 
 [[package]]
 name = "jupyter-lsp"
-version = "2.2.0"
+version = "2.2.1"
 description = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter-lsp-2.2.0.tar.gz", hash = "sha256:8ebbcb533adb41e5d635eb8fe82956b0aafbf0fd443b6c4bfa906edeeb8635a1"},
-    {file = "jupyter_lsp-2.2.0-py3-none-any.whl", hash = "sha256:9e06b8b4f7dd50300b70dd1a78c0c3b0c3d8fa68e0f2d8a5d1fbab62072aca3f"},
+    {file = "jupyter-lsp-2.2.1.tar.gz", hash = "sha256:b17fab6d70fe83c8896b0cff59237640038247c196056b43684a0902b6a9e0fb"},
+    {file = "jupyter_lsp-2.2.1-py3-none-any.whl", hash = "sha256:17a689910c5e4ae5e7d334b02f31d08ffbe98108f6f658fb05e4304b4345368b"},
 ]
 
 [package.dependencies]
@@ -1155,13 +1202,13 @@ jupyter-server = ">=1.1.2"
 
 [[package]]
 name = "jupyter-server"
-version = "2.11.2"
+version = "2.12.1"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_server-2.11.2-py3-none-any.whl", hash = "sha256:0c548151b54bcb516ca466ec628f7f021545be137d01b5467877e87f6fff4374"},
-    {file = "jupyter_server-2.11.2.tar.gz", hash = "sha256:0c99f9367b0f24141e527544522430176613f9249849be80504c6d2b955004bb"},
+    {file = "jupyter_server-2.12.1-py3-none-any.whl", hash = "sha256:fd030dd7be1ca572e4598203f718df6630c12bd28a599d7f1791c4d7938e1010"},
+    {file = "jupyter_server-2.12.1.tar.gz", hash = "sha256:dc77b7dcc5fc0547acba2b2844f01798008667201eea27c6319ff9257d700a6d"},
 ]
 
 [package.dependencies]
@@ -1191,13 +1238,13 @@ test = ["flaky", "ipykernel", "pre-commit", "pytest (>=7.0)", "pytest-console-sc
 
 [[package]]
 name = "jupyter-server-terminals"
-version = "0.4.4"
+version = "0.5.1"
 description = "A Jupyter Server Extension Providing Terminals."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_server_terminals-0.4.4-py3-none-any.whl", hash = "sha256:75779164661cec02a8758a5311e18bb8eb70c4e86c6b699403100f1585a12a36"},
-    {file = "jupyter_server_terminals-0.4.4.tar.gz", hash = "sha256:57ab779797c25a7ba68e97bcfb5d7740f2b5e8a83b5e8102b10438041a7eac5d"},
+    {file = "jupyter_server_terminals-0.5.1-py3-none-any.whl", hash = "sha256:5e63e947ddd97bb2832db5ef837a258d9ccd4192cd608c1270850ad947ae5dd7"},
+    {file = "jupyter_server_terminals-0.5.1.tar.gz", hash = "sha256:16d3be9cf48be6a1f943f3a6c93c033be259cf4779184c66421709cf63dccfea"},
 ]
 
 [package.dependencies]
@@ -1205,18 +1252,18 @@ pywinpty = {version = ">=2.0.3", markers = "os_name == \"nt\""}
 terminado = ">=0.8.3"
 
 [package.extras]
-docs = ["jinja2", "jupyter-server", "mistune (<3.0)", "myst-parser", "nbformat", "packaging", "pydata-sphinx-theme", "sphinxcontrib-github-alt", "sphinxcontrib-openapi", "sphinxcontrib-spelling", "sphinxemoji", "tornado"]
-test = ["coverage", "jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-cov", "pytest-jupyter[server] (>=0.5.3)", "pytest-timeout"]
+docs = ["jinja2", "jupyter-server", "mistune (<4.0)", "myst-parser", "nbformat", "packaging", "pydata-sphinx-theme", "sphinxcontrib-github-alt", "sphinxcontrib-openapi", "sphinxcontrib-spelling", "sphinxemoji", "tornado"]
+test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>=0.5.3)", "pytest-timeout"]
 
 [[package]]
 name = "jupyterlab"
-version = "4.0.8"
+version = "4.0.10"
 description = "JupyterLab computational environment"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyterlab-4.0.8-py3-none-any.whl", hash = "sha256:2ff5aa2a51eb21df241d6011c236e88bd1ff9a5dbb75bebc54472f9c18bfffa4"},
-    {file = "jupyterlab-4.0.8.tar.gz", hash = "sha256:c4fe93f977bcc987bd395d7fae5ab02e0c042bf4e0f7c95196f3e2e578c2fb3a"},
+    {file = "jupyterlab-4.0.10-py3-none-any.whl", hash = "sha256:fe010ad9e37017488b468632ef2ead255fc7c671c5b64d9ca13e1f7b7e665c37"},
+    {file = "jupyterlab-4.0.10.tar.gz", hash = "sha256:46177eb8ede70dc73be922ac99f8ef943bdc2dfbc6a31b353c4bde848a35dee1"},
 ]
 
 [package.dependencies]
@@ -1233,31 +1280,31 @@ tornado = ">=6.2.0"
 traitlets = "*"
 
 [package.extras]
-dev = ["black[jupyter] (==23.10.1)", "build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.0.292)"]
+dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.1.6)"]
 docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-tornasync", "sphinx (>=1.8,<7.2.0)", "sphinx-copybutton"]
 docs-screenshots = ["altair (==5.0.1)", "ipython (==8.14.0)", "ipywidgets (==8.0.6)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.0.post0)", "matplotlib (==3.7.1)", "nbconvert (>=7.0.0)", "pandas (==2.0.2)", "scipy (==1.10.1)", "vega-datasets (==0.9.0)"]
 test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"]
 
 [[package]]
 name = "jupyterlab-pygments"
-version = "0.2.2"
+version = "0.3.0"
 description = "Pygments theme using JupyterLab CSS variables"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "jupyterlab_pygments-0.2.2-py2.py3-none-any.whl", hash = "sha256:2405800db07c9f770863bcf8049a529c3dd4d3e28536638bd7c1c01d2748309f"},
-    {file = "jupyterlab_pygments-0.2.2.tar.gz", hash = "sha256:7405d7fde60819d905a9fa8ce89e4cd830e318cdad22a0030f7a901da705585d"},
+    {file = "jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780"},
+    {file = "jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d"},
 ]
 
 [[package]]
 name = "jupyterlab-server"
-version = "2.25.1"
+version = "2.25.2"
 description = "A set of server components for JupyterLab and JupyterLab like applications."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyterlab_server-2.25.1-py3-none-any.whl", hash = "sha256:dce9714d91fb3e53d2b37d0e0619fa26ed223c8e7b8c81cca112926de19b53a4"},
-    {file = "jupyterlab_server-2.25.1.tar.gz", hash = "sha256:6491283b0000698eae1a38c48507930560dfcf7461aea0015368698aab34dd9c"},
+    {file = "jupyterlab_server-2.25.2-py3-none-any.whl", hash = "sha256:5b1798c9cc6a44f65c757de9f97fc06fc3d42535afbf47d2ace5e964ab447aaf"},
+    {file = "jupyterlab_server-2.25.2.tar.gz", hash = "sha256:bd0ec7a99ebcedc8bcff939ef86e52c378e44c2707e053fcd81d046ce979ee63"},
 ]
 
 [package.dependencies]
@@ -1287,25 +1334,32 @@ files = [
 
 [[package]]
 name = "jupytext"
-version = "1.15.2"
+version = "1.16.0"
 description = "Jupyter notebooks as Markdown documents, Julia, Python or R scripts"
 optional = false
-python-versions = "~=3.6"
+python-versions = ">=3.8"
 files = [
-    {file = "jupytext-1.15.2-py3-none-any.whl", hash = "sha256:ef2a1a3eb8f63d84a3b3772014bdfbe238e4e12a30c4309b8c89e0a54adeb7d1"},
-    {file = "jupytext-1.15.2.tar.gz", hash = "sha256:c9976e24d834e991906c1de55af4b6d512d764f6372aabae45fc1ea72b589173"},
+    {file = "jupytext-1.16.0-py3-none-any.whl", hash = "sha256:c2b951ac72871f39cd6cd242b56bc43219b7ed8169598bae5359811fb1f54d28"},
+    {file = "jupytext-1.16.0.tar.gz", hash = "sha256:94c7e67775e90e1792c39ab7fca4e0459bf7c35656123e8dc2e9e1b3e953baf8"},
 ]
 
 [package.dependencies]
 markdown-it-py = ">=1.0.0"
 mdit-py-plugins = "*"
 nbformat = "*"
+packaging = "*"
 pyyaml = "*"
 toml = "*"
 
 [package.extras]
-rst2md = ["sphinx-gallery (>=0.7.0,<0.8.0)"]
-toml = ["toml"]
+dev = ["jupytext[test-cov,test-external]"]
+docs = ["myst-parser", "sphinx", "sphinx-copybutton", "sphinx-rtd-theme"]
+test = ["pytest", "pytest-randomly", "pytest-xdist"]
+test-cov = ["jupytext[test-integration]", "pytest-cov (>=2.6.1)"]
+test-external = ["autopep8", "black", "flake8", "gitpython", "isort", "jupyter-fs (<0.4.0)", "jupytext[test-integration]", "pre-commit", "sphinx-gallery (<0.8)"]
+test-functional = ["jupytext[test]"]
+test-integration = ["ipykernel", "jupyter-server (!=2.11)", "jupytext[test-functional]", "nbconvert"]
+test-ui = ["calysto-bash"]
 
 [[package]]
 name = "kiwisolver"
@@ -1555,6 +1609,16 @@ files = [
 [package.dependencies]
 rapidfuzz = ">=3.1.0,<4.0.0"
 
+[[package]]
+name = "lit"
+version = "17.0.6"
+description = "A Software Testing Tool"
+optional = false
+python-versions = "*"
+files = [
+    {file = "lit-17.0.6.tar.gz", hash = "sha256:dfa9af9b55fc4509a56be7bf2346f079d7f4a242d583b9f2e0b078fd0abae31b"},
+]
+
 [[package]]
 name = "markdown"
 version = "3.5.1"
@@ -1924,13 +1988,13 @@ recommended = ["mkdocs-minify-plugin (>=0.7,<1.0)", "mkdocs-redirects (>=1.2,<2.
 
 [[package]]
 name = "mkdocs-material-extensions"
-version = "1.3"
+version = "1.3.1"
 description = "Extension pack for Python Markdown and MkDocs Material."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "mkdocs_material_extensions-1.3-py3-none-any.whl", hash = "sha256:0297cc48ba68a9fdd1ef3780a3b41b534b0d0df1d1181a44676fda5f464eeadc"},
-    {file = "mkdocs_material_extensions-1.3.tar.gz", hash = "sha256:f0446091503acb110a7cab9349cbc90eeac51b58d1caa92a704a81ca1e24ddbd"},
+    {file = "mkdocs_material_extensions-1.3.1-py3-none-any.whl", hash = "sha256:adff8b62700b25cb77b53358dad940f3ef973dd6db797907c49e3c2ef3ab4e31"},
+    {file = "mkdocs_material_extensions-1.3.1.tar.gz", hash = "sha256:10c9511cea88f568257f960358a467d12b970e1f7b2c0e5fb2bb48cab1928443"},
 ]
 
 [[package]]
@@ -1988,6 +2052,23 @@ files = [
 griffe = ">=0.37"
 mkdocstrings = ">=0.20"
 
+[[package]]
+name = "mpmath"
+version = "1.3.0"
+description = "Python library for arbitrary-precision floating-point arithmetic"
+optional = false
+python-versions = "*"
+files = [
+    {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
+    {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
+]
+
+[package.extras]
+develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
+docs = ["sphinx"]
+gmpy = ["gmpy2 (>=2.1.0a4)"]
+tests = ["pytest (>=4.6)"]
+
 [[package]]
 name = "nbclient"
 version = "0.9.0"
@@ -2012,13 +2093,13 @@ test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=
 
 [[package]]
 name = "nbconvert"
-version = "7.11.0"
+version = "7.13.1"
 description = "Converting Jupyter Notebooks"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "nbconvert-7.11.0-py3-none-any.whl", hash = "sha256:d1d417b7f34a4e38887f8da5bdfd12372adf3b80f995d57556cb0972c68909fe"},
-    {file = "nbconvert-7.11.0.tar.gz", hash = "sha256:abedc01cf543177ffde0bfc2a69726d5a478f6af10a332fc1bf29fcb4f0cf000"},
+    {file = "nbconvert-7.13.1-py3-none-any.whl", hash = "sha256:3c50eb2d326478cc90b8759cf2ab9dde3d892c6537cd6a5bc0991db8ef734bcc"},
+    {file = "nbconvert-7.13.1.tar.gz", hash = "sha256:2dc8267dbdfeedce2dcd34c9e3f1b51af18f43cb105549d1c5a18189ec23ba85"},
 ]
 
 [package.dependencies]
@@ -2044,7 +2125,7 @@ docs = ["ipykernel", "ipython", "myst-parser", "nbsphinx (>=0.2.12)", "pydata-sp
 qtpdf = ["nbconvert[qtpng]"]
 qtpng = ["pyqtwebengine (>=5.15)"]
 serve = ["tornado (>=6.1)"]
-test = ["flaky", "ipykernel", "ipywidgets (>=7)", "pytest"]
+test = ["flaky", "ipykernel", "ipywidgets (>=7.5)", "pytest"]
 webpdf = ["playwright"]
 
 [[package]]
@@ -2230,36 +2311,36 @@ files = [
 
 [[package]]
 name = "pandas"
-version = "2.1.3"
+version = "2.1.4"
 description = "Powerful data structures for data analysis, time series, and statistics"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "pandas-2.1.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:acf08a73b5022b479c1be155d4988b72f3020f308f7a87c527702c5f8966d34f"},
-    {file = "pandas-2.1.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3cc4469ff0cf9aa3a005870cb49ab8969942b7156e0a46cc3f5abd6b11051dfb"},
-    {file = "pandas-2.1.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:35172bff95f598cc5866c047f43c7f4df2c893acd8e10e6653a4b792ed7f19bb"},
-    {file = "pandas-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:59dfe0e65a2f3988e940224e2a70932edc964df79f3356e5f2997c7d63e758b4"},
-    {file = "pandas-2.1.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:0296a66200dee556850d99b24c54c7dfa53a3264b1ca6f440e42bad424caea03"},
-    {file = "pandas-2.1.3-cp310-cp310-win_amd64.whl", hash = "sha256:465571472267a2d6e00657900afadbe6097c8e1dc43746917db4dfc862e8863e"},
-    {file = "pandas-2.1.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:04d4c58e1f112a74689da707be31cf689db086949c71828ef5da86727cfe3f82"},
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 [[package]]
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 [package.extras]
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 [[package]]
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 [package.dependencies]
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 [package.extras]
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+[[package]]
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@@ -3552,13 +3653,13 @@ files = [
 
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+
 [[package]]
 name = "tzdata"
-version = "2023.3"
+version = "2023.4"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 files = [
-    {file = "tzdata-2023.3-py2.py3-none-any.whl", hash = "sha256:7e65763eef3120314099b6939b5546db7adce1e7d6f2e179e3df563c70511eda"},
-    {file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"},
+    {file = "tzdata-2023.4-py2.py3-none-any.whl", hash = "sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3"},
+    {file = "tzdata-2023.4.tar.gz", hash = "sha256:dd54c94f294765522c77399649b4fefd95522479a664a0cec87f41bebc6148c9"},
 ]
 
 [[package]]
@@ -3724,13 +3937,13 @@ watchmedo = ["PyYAML (>=3.10)"]
 
 [[package]]
 name = "wcwidth"
-version = "0.2.10"
+version = "0.2.12"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = "*"
 files = [
-    {file = "wcwidth-0.2.10-py2.py3-none-any.whl", hash = "sha256:aec5179002dd0f0d40c456026e74a729661c9d468e1ed64405e3a6c2176ca36f"},
-    {file = "wcwidth-0.2.10.tar.gz", hash = "sha256:390c7454101092a6a5e43baad8f83de615463af459201709556b6e4b1c861f97"},
+    {file = "wcwidth-0.2.12-py2.py3-none-any.whl", hash = "sha256:f26ec43d96c8cbfed76a5075dac87680124fa84e0855195a6184da9c187f133c"},
+    {file = "wcwidth-0.2.12.tar.gz", hash = "sha256:f01c104efdf57971bcb756f054dd58ddec5204dd15fa31d6503ea57947d97c02"},
 ]
 
 [[package]]
@@ -3761,13 +3974,13 @@ files = [
 
 [[package]]
 name = "websocket-client"
-version = "1.6.4"
+version = "1.7.0"
 description = "WebSocket client for Python with low level API options"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "websocket-client-1.6.4.tar.gz", hash = "sha256:b3324019b3c28572086c4a319f91d1dcd44e6e11cd340232978c684a7650d0df"},
-    {file = "websocket_client-1.6.4-py3-none-any.whl", hash = "sha256:084072e0a7f5f347ef2ac3d8698a5e0b4ffbfcab607628cadabc650fc9a83a24"},
+    {file = "websocket-client-1.7.0.tar.gz", hash = "sha256:10e511ea3a8c744631d3bd77e61eb17ed09304c413ad42cf6ddfa4c7787e8fe6"},
+    {file = "websocket_client-1.7.0-py3-none-any.whl", hash = "sha256:f4c3d22fec12a2461427a29957ff07d35098ee2d976d3ba244e688b8b4057588"},
 ]
 
 [package.extras]
@@ -3789,4 +4002,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.11,<3.12"
-content-hash = "cc3fe4c6067ccdd3c0459e4649a6903c5449008e66d7d80dfe6d6f4b5c3c20c7"
+content-hash = "c45369a5ab105d1aebcc63fb14f6709a7d36b0b989482d3634a68a5aad3fbabc"
diff --git a/pyproject.toml b/pyproject.toml
index 34c72e319..6cc583908 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -15,14 +15,16 @@ packages = [
 [tool.poetry.dependencies]
 python = "^3.11,<3.12"
 ipython = "^8.8.0"
-levenshtein = ">=0.21.1,<0.24.0"
 matplotlib = "^3.6.3"
-openpyxl = "^3.1.2"
 pandas = "^2.0.0"
 pillow = ">=9.5,<11.0"
-scikit-image = ">=0.21,<0.23"
 scikit-learn = "^1.2.0"
 seaborn = "^0.13.0"
+openpyxl = "^3.1.2"
+scikit-image = ">=0.21,<0.23"
+levenshtein = ">=0.21.1,<0.24.0"
+torch = {version = "~2.0.0", source = "torch_cuda118"}
+torchvision = {version = "<0.16.0", source = "torch_cuda118"}
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^7.2.1"
@@ -35,19 +37,25 @@ mkdocs = "^1.4.2"
 mkdocstrings = ">=0.20,<0.25"
 mkdocstrings-python = ">=0.8.3,<1.8.0"
 mkdocs-autorefs = ">=0.4.1,<0.6.0"
-mkdocs-exclude = "^1.0.2"
 mkdocs-gen-files = ">=0.4,<0.6"
 mkdocs-glightbox = "^0.3.1"
-mkdocs-jupyter = ">=0.23,<0.25"
 mkdocs-literate-nav = "^0.6.0"
 mkdocs-material = "^9.1.2"
 mkdocs-section-index = "^0.3.5"
+mkdocs-jupyter = ">=0.23,<0.25"
+mkdocs-exclude = "^1.0.2"
+
+[[tool.poetry.source]]
+name = "torch_cuda118"
+url = "https://download.pytorch.org/whl/cu118"
+priority = "explicit"
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]
 build-backend = "poetry.core.masonry.api"
 
 [tool.pytest.ini_options]
+addopts = "--snapshot-warn-unused"
 filterwarnings = [
     "ignore:Deprecated call to `pkg_resources.declare_namespace",
     "ignore:Jupyter is migrating its paths to use standard platformdirs"
diff --git a/src/safeds/config/__init__.py b/src/safeds/config/__init__.py
new file mode 100644
index 000000000..cfe590409
--- /dev/null
+++ b/src/safeds/config/__init__.py
@@ -0,0 +1,7 @@
+"""Configuration for Safe-DS."""
+
+from ._device import _get_device
+
+__all__ = [
+    "_get_device",
+]
diff --git a/src/safeds/config/_device.py b/src/safeds/config/_device.py
new file mode 100644
index 000000000..c3fbb3f4b
--- /dev/null
+++ b/src/safeds/config/_device.py
@@ -0,0 +1,6 @@
+import torch
+from torch.types import Device
+
+
+def _get_device() -> Device:
+    return torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu")
diff --git a/src/safeds/data/image/containers/_image.py b/src/safeds/data/image/containers/_image.py
index c4a2cfd33..98d8e5184 100644
--- a/src/safeds/data/image/containers/_image.py
+++ b/src/safeds/data/image/containers/_image.py
@@ -1,20 +1,29 @@
 from __future__ import annotations
 
-import copy
 import io
 import warnings
 from pathlib import Path
-from typing import Any, BinaryIO
+from typing import TYPE_CHECKING
 
-import numpy as np
-import PIL
-from PIL import ImageEnhance, ImageFilter, ImageOps
-from PIL.Image import Image as PillowImage
-from PIL.Image import open as open_image
-from skimage.util import random_noise
+import torch
+import torch.nn.functional as func
+from PIL.Image import open as pil_image_open
+from torch import Tensor
 
-from safeds.data.image.typing import ImageFormat
-from safeds.exceptions import ClosedBound, OutOfBoundsError
+from safeds.config import _get_device
+
+if TYPE_CHECKING:
+    from torch.types import Device
+import torchvision
+
+# Disables torchvision V2 beta warnings
+# Disabled because of RUFF Linter E402 (Module level import not at top of file)
+# torchvision.disable_beta_transforms_warning()
+from torchvision.transforms.v2 import PILToTensor
+from torchvision.transforms.v2 import functional as func2
+from torchvision.utils import save_image
+
+from safeds.exceptions import ClosedBound, IllegalFormatError, OutOfBoundsError
 
 
 class Image:
@@ -23,71 +32,126 @@ class Image:
 
     Parameters
     ----------
-    data : BinaryIO
-        The image data as bytes.
+    image_tensor : Tensor
+        The image data as tensor.
     """
 
+    _pil_to_tensor = PILToTensor()
+    _default_device = _get_device()
+
     @staticmethod
-    def from_jpeg_file(path: str | Path) -> Image:
+    def from_file(path: str | Path, device: Device = _default_device) -> Image:
         """
-        Create an image from a JPEG file.
+        Create an image from a file.
 
         Parameters
         ----------
         path : str | Path
-            The path to the JPEG file.
+            The path to the image file.
+        device: Device
+            The device where the tensor will be saved on. Defaults to the default device
 
         Returns
         -------
         image : Image
             The image.
         """
-        return Image(
-            data=Path(path).open("rb"),
-            format_=ImageFormat.JPEG,
-        )
+        return Image(image_tensor=Image._pil_to_tensor(pil_image_open(path)), device=device)
 
     @staticmethod
-    def from_png_file(path: str | Path) -> Image:
+    def from_bytes(data: bytes, device: Device = _default_device) -> Image:
         """
-        Create an image from a PNG file.
+        Create an image from bytes.
 
         Parameters
         ----------
-        path : str | Path
-            The path to the PNG file.
+        data : bytes
+            The data of the image.
+        device: Device
+            The device where the tensor will be saved on. Defaults to the default device
 
         Returns
         -------
         image : Image
             The image.
         """
-        return Image(
-            data=Path(path).open("rb"),
-            format_=ImageFormat.PNG,
+        with warnings.catch_warnings():
+            warnings.filterwarnings(
+                "ignore",
+                message="The given buffer is not writable, and PyTorch does not support non-writable tensors.",
+            )
+            input_tensor = torch.frombuffer(data, dtype=torch.uint8)
+        return Image(image_tensor=torchvision.io.decode_image(input_tensor), device=device)
+
+    def __init__(self, image_tensor: Tensor, device: Device = _default_device) -> None:
+        self._image_tensor: Tensor = image_tensor.to(device)
+
+    def __eq__(self, other: object) -> bool:
+        """
+        Compare two images.
+
+        Parameters
+        ----------
+        other: The image to compare to.
+
+        Returns
+        -------
+        equals : bool
+            Whether the two images contain equal pixel data.
+        """
+        if not isinstance(other, Image):
+            return NotImplemented
+        return (
+            self._image_tensor.size() == other._image_tensor.size()
+            and torch.all(torch.eq(self._image_tensor, other._set_device(self.device)._image_tensor)).item()
         )
 
-    def __init__(self, data: BinaryIO, format_: ImageFormat):
-        data.seek(0)
+    def _repr_jpeg_(self) -> bytes | None:
+        """
+        Return a JPEG image as bytes.
 
-        self._image: PillowImage = open_image(data, formats=[format_.value])
-        self._format: ImageFormat = format_
+        If the image has an alpha channel return None.
 
-    # ------------------------------------------------------------------------------------------------------------------
-    # Properties
-    # ------------------------------------------------------------------------------------------------------------------
+        Returns
+        -------
+        jpeg : bytes
+            The image as JPEG.
+        """
+        if self.channel == 4:
+            return None
+        buffer = io.BytesIO()
+        save_image(self._image_tensor.to(torch.float32) / 255, buffer, format="jpeg")
+        buffer.seek(0)
+        return buffer.read()
 
-    @property
-    def format(self) -> ImageFormat:
+    def _repr_png_(self) -> bytes:
         """
-        Get the image format.
+        Return a PNG image as bytes.
 
         Returns
         -------
-        format : ImageFormat
-            The image format.
+        png : bytes
+            The image as PNG.
         """
-        return self._format
+        buffer = io.BytesIO()
+        save_image(self._image_tensor.to(torch.float32) / 255, buffer, format="png")
+        buffer.seek(0)
+        return buffer.read()
+
+    def _set_device(self, device: Device) -> Image:
+        """
+        Set the device where the image will be saved on.
+
+        Returns
+        -------
+        result : Image
+            The image on the given device
+        """
+        return Image(self._image_tensor, device)
+
+    # ------------------------------------------------------------------------------------------------------------------
+    # Properties
+    # ------------------------------------------------------------------------------------------------------------------
 
     @property
     def width(self) -> int:
@@ -99,7 +163,7 @@ def width(self) -> int:
         width : int
             The width of the image.
         """
-        return self._image.width
+        return self._image_tensor.size(dim=2)
 
     @property
     def height(self) -> int:
@@ -111,7 +175,31 @@ def height(self) -> int:
         height : int
             The height of the image.
         """
-        return self._image.height
+        return self._image_tensor.size(dim=1)
+
+    @property
+    def channel(self) -> int:
+        """
+        Get the number of channels of the image.
+
+        Returns
+        -------
+        channel : int
+            The number of channels of the image.
+        """
+        return self._image_tensor.size(dim=0)
+
+    @property
+    def device(self) -> Device:
+        """
+        Get the device where the image is saved on.
+
+        Returns
+        -------
+        device : Device
+            The device of the image
+        """
+        return self._image_tensor.device
 
     # ------------------------------------------------------------------------------------------------------------------
     # Conversion
@@ -126,8 +214,10 @@ def to_jpeg_file(self, path: str | Path) -> None:
         path : str | Path
             The path to the JPEG file.
         """
+        if self.channel == 4:
+            raise IllegalFormatError("png")
         Path(path).parent.mkdir(parents=True, exist_ok=True)
-        self._image.save(path, format="jpeg")
+        save_image(self._image_tensor.to(torch.float32) / 255, path, format="jpeg")
 
     def to_png_file(self, path: str | Path) -> None:
         """
@@ -139,67 +229,7 @@ def to_png_file(self, path: str | Path) -> None:
             The path to the PNG file.
         """
         Path(path).parent.mkdir(parents=True, exist_ok=True)
-        self._image.save(path, format="png")
-
-    # ------------------------------------------------------------------------------------------------------------------
-    # IPython integration
-    # ------------------------------------------------------------------------------------------------------------------
-
-    def __eq__(self, other: Any) -> bool:
-        """
-        Compare two images.
-
-        Parameters
-        ----------
-        other: The image to compare to.
-
-        Returns
-        -------
-        equals : bool
-            Whether the two images contain equal pixel data.
-
-        """
-        if not isinstance(other, Image):
-            return NotImplemented
-        return self._image.tobytes() == other._image.tobytes()
-
-    def _repr_jpeg_(self) -> bytes | None:
-        """
-        Return a JPEG image as bytes.
-
-        If the image is not a JPEG, return None.
-
-        Returns
-        -------
-        jpeg : bytes | None
-            The image as JPEG.
-        """
-        if self._format != ImageFormat.JPEG:
-            return None
-
-        buffer = io.BytesIO()
-        self._image.save(buffer, format="jpeg")
-        buffer.seek(0)
-        return buffer.read()
-
-    def _repr_png_(self) -> bytes | None:
-        """
-        Return a PNG image as bytes.
-
-        If the image is not a PNG, return None.
-
-        Returns
-        -------
-        png : bytes | None
-            The image as PNG.
-        """
-        if self._format != ImageFormat.PNG:
-            return None
-
-        buffer = io.BytesIO()
-        self._image.save(buffer, format="png")
-        buffer.seek(0)
-        return buffer.read()
+        save_image(self._image_tensor.to(torch.float32) / 255, path, format="png")
 
     # ------------------------------------------------------------------------------------------------------------------
     # Transformations
@@ -216,9 +246,10 @@ def resize(self, new_width: int, new_height: int) -> Image:
         result : Image
             The image with the given width and height.
         """
-        image_copy = copy.deepcopy(self)
-        image_copy._image = image_copy._image.resize((new_width, new_height))
-        return image_copy
+        return Image(
+            func.interpolate(self._image_tensor.unsqueeze(dim=1), size=(new_height, new_width)).squeeze(dim=1),
+            device=self._image_tensor.device,
+        )
 
     def convert_to_grayscale(self) -> Image:
         """
@@ -231,9 +262,16 @@ def convert_to_grayscale(self) -> Image:
         result : Image
             The grayscale image.
         """
-        image_copy = copy.deepcopy(self)
-        image_copy._image = image_copy._image.convert("L")
-        return image_copy
+        if self.channel == 4:
+            return Image(
+                torch.cat([
+                    func2.rgb_to_grayscale(self._image_tensor[0:3], num_output_channels=3),
+                    self._image_tensor[3].unsqueeze(dim=0),
+                ]),
+                device=self.device,
+            )
+        else:
+            return Image(func2.rgb_to_grayscale(self._image_tensor[0:3], num_output_channels=3), device=self.device)
 
     def crop(self, x: int, y: int, width: int, height: int) -> Image:
         """
@@ -253,9 +291,7 @@ def crop(self, x: int, y: int, width: int, height: int) -> Image:
         result : Image
             The cropped image.
         """
-        image_copy = copy.deepcopy(self)
-        image_copy._image = image_copy._image.crop((x, y, (x + width), (y + height)))
-        return image_copy
+        return Image(func2.crop(self._image_tensor, x, y, height, width), device=self.device)
 
     def flip_vertically(self) -> Image:
         """
@@ -268,9 +304,7 @@ def flip_vertically(self) -> Image:
         result : Image
             The flipped image.
         """
-        image_copy = copy.deepcopy(self)
-        image_copy._image = self._image.transpose(PIL.Image.FLIP_TOP_BOTTOM)
-        return image_copy
+        return Image(func2.vertical_flip(self._image_tensor), device=self.device)
 
     def flip_horizontally(self) -> Image:
         """
@@ -283,9 +317,7 @@ def flip_horizontally(self) -> Image:
         result : Image
             The flipped image.
         """
-        image_copy = copy.deepcopy(self)
-        image_copy._image = self._image.transpose(PIL.Image.FLIP_LEFT_RIGHT)
-        return image_copy
+        return Image(func2.horizontal_flip(self._image_tensor), device=self.device)
 
     def adjust_brightness(self, factor: float) -> Image:
         """
@@ -306,6 +338,11 @@ def adjust_brightness(self, factor: float) -> Image:
         -------
         result: Image
             The Image with adjusted brightness.
+
+        Raises
+        ------
+        OutOfBoundsError
+            If factor is smaller than 0.
         """
         if factor < 0:
             raise OutOfBoundsError(factor, name="factor", lower_bound=ClosedBound(0))
@@ -315,26 +352,32 @@ def adjust_brightness(self, factor: float) -> Image:
                 UserWarning,
                 stacklevel=2,
             )
+        if self.channel == 4:
+            return Image(
+                torch.cat([
+                    func2.adjust_brightness(self._image_tensor[0:3], factor * 1.0),
+                    self._image_tensor[3].unsqueeze(dim=0),
+                ]),
+                device=self.device,
+            )
+        else:
+            return Image(func2.adjust_brightness(self._image_tensor, factor * 1.0), device=self.device)
 
-        image_copy = copy.deepcopy(self)
-        image_copy._image = ImageEnhance.Brightness(image_copy._image).enhance(factor)
-        return image_copy
-
-    def add_gaussian_noise(self, standard_deviation: float) -> Image:
+    def add_noise(self, standard_deviation: float) -> Image:
         """
-        Return a new `Image` with Gaussian noise added to the image.
+        Return a new `Image` with noise added to the image.
 
         The original image is not modified.
 
         Parameters
         ----------
         standard_deviation : float
-            The standard deviation of the Gaussian distribution. Has to be bigger than or equal to 0.
+            The standard deviation of the normal distribution. Has to be bigger than or equal to 0.
 
         Returns
         -------
         result : Image
-            The image with added Gaussian noise.
+            The image with added noise.
 
         Raises
         ------
@@ -343,21 +386,10 @@ def add_gaussian_noise(self, standard_deviation: float) -> Image:
         """
         if standard_deviation < 0:
             raise OutOfBoundsError(standard_deviation, name="standard_deviation", lower_bound=ClosedBound(0))
-
-        # noinspection PyTypeChecker
-        image_as_array = np.asarray(self._image)
-        noisy_image_as_array = random_noise(
-            image_as_array,
-            mode="gaussian",
-            var=standard_deviation**2,
-            rng=42,
-            clip=True,
+        return Image(
+            self._image_tensor + torch.normal(0, standard_deviation, self._image_tensor.size()).to(self.device) * 255,
+            device=self.device,
         )
-        noisy_image = PIL.Image.fromarray(np.uint8(255 * noisy_image_as_array))
-
-        image_copy = copy.deepcopy(self)
-        image_copy._image = noisy_image
-        return image_copy
 
     def adjust_contrast(self, factor: float) -> Image:
         """
@@ -377,6 +409,11 @@ def adjust_contrast(self, factor: float) -> Image:
         -------
         image: Image
             New image with adjusted contrast.
+
+        Raises
+        ------
+        OutOfBoundsError
+            If factor is smaller than 0.
         """
         if factor < 0:
             raise OutOfBoundsError(factor, name="factor", lower_bound=ClosedBound(0))
@@ -386,42 +423,19 @@ def adjust_contrast(self, factor: float) -> Image:
                 UserWarning,
                 stacklevel=2,
             )
-
-        image_copy = copy.deepcopy(self)
-        image_copy._image = ImageEnhance.Contrast(image_copy._image).enhance(factor)
-        return image_copy
-
-    def adjust_color_balance(self, factor: float) -> Image:
-        """
-        Return a new `Image` with adjusted color balance.
-
-        The original image is not modified.
-
-        Parameters
-        ----------
-        factor: float
-            If factor > 1, increase color balance of image.
-            If factor = 1, no changes will be made.
-            If factor < 1, make image greyer.
-            Has to be bigger than or equal to 0.
-
-        Returns
-        -------
-        image: Image
-            The new, adjusted image.
-        """
-        if factor < 0:
-            raise OutOfBoundsError(factor, name="factor", lower_bound=ClosedBound(0))
-        elif factor == 1:
-            warnings.warn(
-                "Color adjustment factor is 1.0, this will not make changes to the image.",
-                UserWarning,
-                stacklevel=2,
+        if self.channel == 4:
+            return Image(
+                torch.cat([
+                    func2.adjust_contrast(self._image_tensor[0:3], factor * 1.0),
+                    self._image_tensor[3].unsqueeze(dim=0),
+                ]),
+                device=self.device,
             )
+        else:
+            return Image(func2.adjust_contrast(self._image_tensor, factor * 1.0), device=self.device)
 
-        image_copy = copy.deepcopy(self)
-        image_copy._image = ImageEnhance.Color(image_copy._image).enhance(factor)
-        return image_copy
+    # def adjust_color_balance(self, factor: float) -> Image:
+    #     pass
 
     def blur(self, radius: int) -> Image:
         """
@@ -440,9 +454,7 @@ def blur(self, radius: int) -> Image:
         result : Image
             The blurred image.
         """
-        image_copy = copy.deepcopy(self)
-        image_copy._image = image_copy._image.filter(ImageFilter.BoxBlur(radius))
-        return image_copy
+        return Image(func2.gaussian_blur(self._image_tensor, [radius * 2 + 1, radius * 2 + 1]), device=self.device)
 
     def sharpen(self, factor: float) -> Image:
         """
@@ -453,17 +465,39 @@ def sharpen(self, factor: float) -> Image:
         Parameters
         ----------
         factor : float
-            The amount of sharpness to be applied to the image. Factor 1.0 is considered to be neutral and does not make
-            any changes.
+            If factor > 1, increase the sharpness of the image.
+            If factor = 1, no changes will be made.
+            If factor < 1, blur the image.
+            Has to be bigger than or equal to 0 (blurred).
 
         Returns
         -------
         result : Image
             The image sharpened by the given factor.
+
+        Raises
+        ------
+        OutOfBoundsError
+            If factor is smaller than 0.
         """
-        image_copy = copy.deepcopy(self)
-        image_copy._image = ImageEnhance.Sharpness(image_copy._image).enhance(factor)
-        return image_copy
+        if factor < 0:
+            raise OutOfBoundsError(factor, name="factor", lower_bound=ClosedBound(0))
+        elif factor == 1:
+            warnings.warn(
+                "Sharpen factor is 1.0, this will not make changes to the image.",
+                UserWarning,
+                stacklevel=2,
+            )
+        if self.channel == 4:
+            return Image(
+                torch.cat([
+                    func2.adjust_sharpness(self._image_tensor[0:3], factor * 1.0),
+                    self._image_tensor[3].unsqueeze(dim=0),
+                ]),
+                device=self.device,
+            )
+        else:
+            return Image(func2.adjust_sharpness(self._image_tensor, factor * 1.0), device=self.device)
 
     def invert_colors(self) -> Image:
         """
@@ -476,9 +510,13 @@ def invert_colors(self) -> Image:
         result : Image
             The image with inverted colors.
         """
-        image_copy = copy.deepcopy(self)
-        image_copy._image = ImageOps.invert(image_copy._image.convert("RGB"))
-        return image_copy
+        if self.channel == 4:
+            return Image(
+                torch.cat([func2.invert(self._image_tensor[0:3]), self._image_tensor[3].unsqueeze(dim=0)]),
+                device=self.device,
+            )
+        else:
+            return Image(func2.invert(self._image_tensor), device=self.device)
 
     def rotate_right(self) -> Image:
         """
@@ -491,9 +529,7 @@ def rotate_right(self) -> Image:
         result : Image
             The image rotated 90 degrees clockwise.
         """
-        image_copy = copy.deepcopy(self)
-        image_copy._image = image_copy._image.rotate(270, expand=True)
-        return image_copy
+        return Image(func2.rotate(self._image_tensor, -90, expand=True), device=self.device)
 
     def rotate_left(self) -> Image:
         """
@@ -506,22 +542,4 @@ def rotate_left(self) -> Image:
         result : Image
             The image rotated 90 degrees counter-clockwise.
         """
-        image_copy = copy.deepcopy(self)
-        image_copy._image = image_copy._image.rotate(90, expand=True)
-        return image_copy
-
-    def find_edges(self) -> Image:
-        """
-        Return a grayscale version of the image with the edges highlighted.
-
-        The original image is not modified.
-
-        Returns
-        -------
-        result : Image
-            The image with edges found.
-        """
-        image_copy = copy.deepcopy(self)
-        image_copy = image_copy.convert_to_grayscale()
-        image_copy._image = image_copy._image.filter(ImageFilter.FIND_EDGES)
-        return image_copy
+        return Image(func2.rotate(self._image_tensor, 90, expand=True), device=self.device)
diff --git a/src/safeds/data/image/typing/__init__.py b/src/safeds/data/image/typing/__init__.py
deleted file mode 100644
index fbffdf0c8..000000000
--- a/src/safeds/data/image/typing/__init__.py
+++ /dev/null
@@ -1,7 +0,0 @@
-"""Types used to distinguish different image formats."""
-
-from ._image_format import ImageFormat
-
-__all__ = [
-    "ImageFormat",
-]
diff --git a/src/safeds/data/image/typing/_image_format.py b/src/safeds/data/image/typing/_image_format.py
deleted file mode 100644
index 3b5ecd49f..000000000
--- a/src/safeds/data/image/typing/_image_format.py
+++ /dev/null
@@ -1,8 +0,0 @@
-from enum import Enum
-
-
-class ImageFormat(Enum):
-    """Images formats supported by us."""
-
-    JPEG = "jpeg"
-    PNG = "png"
diff --git a/src/safeds/data/tabular/containers/_column.py b/src/safeds/data/tabular/containers/_column.py
index 5f4795b7f..07742c86e 100644
--- a/src/safeds/data/tabular/containers/_column.py
+++ b/src/safeds/data/tabular/containers/_column.py
@@ -11,7 +11,6 @@
 import seaborn as sns
 
 from safeds.data.image.containers import Image
-from safeds.data.image.typing import ImageFormat
 from safeds.data.tabular.typing import ColumnType
 from safeds.exceptions import (
     ColumnLengthMismatchError,
@@ -928,7 +927,7 @@ def plot_boxplot(self) -> Image:
         fig.savefig(buffer, format="png")
         plt.close()  # Prevents the figure from being displayed directly
         buffer.seek(0)
-        return Image(buffer, ImageFormat.PNG)
+        return Image.from_bytes(buffer.read())
 
     def plot_histogram(self) -> Image:
         """
@@ -960,7 +959,7 @@ def plot_histogram(self) -> Image:
         fig.savefig(buffer, format="png")
         plt.close()  # Prevents the figure from being displayed directly
         buffer.seek(0)
-        return Image(buffer, ImageFormat.PNG)
+        return Image.from_bytes(buffer.read())
 
     # ------------------------------------------------------------------------------------------------------------------
     # Conversion
diff --git a/src/safeds/data/tabular/containers/_table.py b/src/safeds/data/tabular/containers/_table.py
index 693785063..9615ebb05 100644
--- a/src/safeds/data/tabular/containers/_table.py
+++ b/src/safeds/data/tabular/containers/_table.py
@@ -16,7 +16,6 @@
 from scipy import stats
 
 from safeds.data.image.containers import Image
-from safeds.data.image.typing import ImageFormat
 from safeds.data.tabular.typing import ColumnType, Schema
 from safeds.exceptions import (
     ColumnLengthMismatchError,
@@ -1890,7 +1889,7 @@ def plot_correlation_heatmap(self) -> Image:
         fig.savefig(buffer, format="png")
         plt.close()  # Prevents the figure from being displayed directly
         buffer.seek(0)
-        return Image(buffer, format_=ImageFormat.PNG)
+        return Image.from_bytes(buffer.read())
 
     def plot_lineplot(self, x_column_name: str, y_column_name: str) -> Image:
         """
@@ -1951,7 +1950,7 @@ def plot_lineplot(self, x_column_name: str, y_column_name: str) -> Image:
         fig.savefig(buffer, format="png")
         plt.close()  # Prevents the figure from being displayed directly
         buffer.seek(0)
-        return Image(buffer, format_=ImageFormat.PNG)
+        return Image.from_bytes(buffer.read())
 
     def plot_scatterplot(self, x_column_name: str, y_column_name: str) -> Image:
         """
@@ -2009,7 +2008,7 @@ def plot_scatterplot(self, x_column_name: str, y_column_name: str) -> Image:
         fig.savefig(buffer, format="png")
         plt.close()  # Prevents the figure from being displayed directly
         buffer.seek(0)
-        return Image(buffer, format_=ImageFormat.PNG)
+        return Image.from_bytes(buffer.read())
 
     def plot_boxplots(self) -> Image:
         """
@@ -2056,7 +2055,7 @@ def plot_boxplots(self) -> Image:
         fig.savefig(buffer, format="png")
         plt.close()  # Prevents the figure from being displayed directly
         buffer.seek(0)
-        return Image(buffer, format_=ImageFormat.PNG)
+        return Image.from_bytes(buffer.read())
 
     def plot_histograms(self) -> Image:
         """
@@ -2091,7 +2090,7 @@ def plot_histograms(self) -> Image:
         fig.savefig(buffer, format="png")
         plt.close()
         buffer.seek(0)
-        return Image(buffer, ImageFormat.PNG)
+        return Image.from_bytes(buffer.read())
 
     # ------------------------------------------------------------------------------------------------------------------
     # Conversion
diff --git a/src/safeds/exceptions/__init__.py b/src/safeds/exceptions/__init__.py
index 352334cf5..fa930f62f 100644
--- a/src/safeds/exceptions/__init__.py
+++ b/src/safeds/exceptions/__init__.py
@@ -5,6 +5,7 @@
     ColumnLengthMismatchError,
     ColumnSizeError,
     DuplicateColumnNameError,
+    IllegalFormatError,
     IllegalSchemaModificationError,
     IndexOutOfBoundsError,
     MissingValuesColumnError,
@@ -38,6 +39,7 @@
     "ColumnLengthMismatchError",
     "ColumnSizeError",
     "DuplicateColumnNameError",
+    "IllegalFormatError",
     "IllegalSchemaModificationError",
     "IndexOutOfBoundsError",
     "MissingValuesColumnError",
diff --git a/src/safeds/exceptions/_data.py b/src/safeds/exceptions/_data.py
index 1465e4502..9b6904e51 100644
--- a/src/safeds/exceptions/_data.py
+++ b/src/safeds/exceptions/_data.py
@@ -37,10 +37,8 @@ class NonNumericColumnError(Exception):
     def __init__(self, column_info: str, help_msg: str | None = None) -> None:
         line_break = "\n"
         super().__init__(
-            (
-                "Tried to do a numerical operation on one or multiple non-numerical columns:"
-                f" \n{column_info}{line_break + help_msg if help_msg is not None else ''}"
-            ),
+            "Tried to do a numerical operation on one or multiple non-numerical columns:"
+            f" \n{column_info}{line_break + help_msg if help_msg is not None else ''}",
         )
 
 
@@ -50,10 +48,8 @@ class MissingValuesColumnError(Exception):
     def __init__(self, column_info: str, help_msg: str | None = None) -> None:
         line_break = "\n"
         super().__init__(
-            (
-                "Tried to do an operation on one or multiple columns containing missing values:"
-                f" \n{column_info}{line_break + help_msg if help_msg is not None else ''}"
-            ),
+            "Tried to do an operation on one or multiple columns containing missing values:"
+            f" \n{column_info}{line_break + help_msg if help_msg is not None else ''}",
         )
 
 
@@ -125,10 +121,8 @@ def __init__(self, values: list[tuple[str, str]]) -> None:
         values_info = [f"{value} in column {column}" for value, column in values]
         line_break = "\n"
         super().__init__(
-            (
-                "Value(s) not present in the table the transformer was fitted on:"
-                f" {line_break}{line_break.join(values_info)}"
-            ),
+            "Value(s) not present in the table the transformer was fitted on:"
+            f" {line_break}{line_break.join(values_info)}",
         )
 
 
@@ -137,10 +131,8 @@ class WrongFileExtensionError(Exception):
 
     def __init__(self, file: str | Path, file_extension: str | list[str]) -> None:
         super().__init__(
-            (
-                f"The file {file} has a wrong file extension. Please provide a file with the following extension(s):"
-                f" {file_extension}"
-            ),
+            f"The file {file} has a wrong file extension. Please provide a file with the following extension(s):"
+            f" {file_extension}",
         )
 
 
@@ -156,3 +148,10 @@ class ColumnIsTargetError(IllegalSchemaModificationError):
 
     def __init__(self, column_name: str) -> None:
         super().__init__(f'Column "{column_name}" is the target column and cannot be removed.')
+
+
+class IllegalFormatError(Exception):
+    """Exception raised when a format is not legal."""
+
+    def __init__(self, formats: list[str] | str) -> None:
+        super().__init__(f"This format is illegal. Use one of the following formats: {formats}")
diff --git a/tests/resources/image/rgba.png b/tests/resources/image/rgba.png
new file mode 100644
index 000000000..dd31fd6fc
Binary files /dev/null and b/tests/resources/image/rgba.png differ
diff --git a/tests/safeds/data/image/typing/__init__.py b/tests/safeds/config/__init__.py
similarity index 100%
rename from tests/safeds/data/image/typing/__init__.py
rename to tests/safeds/config/__init__.py
diff --git a/tests/safeds/config/test_device.py b/tests/safeds/config/test_device.py
new file mode 100644
index 000000000..a50102f4b
--- /dev/null
+++ b/tests/safeds/config/test_device.py
@@ -0,0 +1,9 @@
+import torch
+from safeds.config import _get_device
+
+
+def test_device() -> None:
+    if torch.cuda.is_available():
+        assert _get_device() == torch.device("cuda")
+    else:
+        assert _get_device() == torch.device("cpu")
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diff --git a/tests/safeds/data/image/containers/test_image.py b/tests/safeds/data/image/containers/test_image.py
index f1f907e1d..3becd8228 100644
--- a/tests/safeds/data/image/containers/test_image.py
+++ b/tests/safeds/data/image/containers/test_image.py
@@ -1,512 +1,759 @@
+import typing
 from pathlib import Path
 from tempfile import NamedTemporaryFile
 
 import pytest
+import torch
 from safeds.data.image.containers import Image
-from safeds.data.image.typing import ImageFormat
 from safeds.data.tabular.containers import Table
-from safeds.exceptions import OutOfBoundsError
+from safeds.exceptions import IllegalFormatError, OutOfBoundsError
 from syrupy import SnapshotAssertion
+from torch.types import Device
 
 from tests.helpers import resolve_resource_path
 
+_device_cuda = torch.device("cuda")
+_device_cpu = torch.device("cpu")
 
-class TestFromJpegFile:
+_plane_jpg_path = "image/plane.jpg"
+_plane_png_path = "image/plane.png"
+_rgba_png_path = "image/rgba.png"
+_white_square_jpg_path = "image/white_square.jpg"
+_white_square_png_path = "image/white_square.png"
+
+_plane_jpg_id = "opaque-3-channel-jpg-plane"
+_plane_png_id = "opaque-4-channel-png-plane"
+_rgba_png_id = "transparent-4-channel-png-rgba"
+_white_square_jpg_id = "opaque-3-channel-jpg-white_square"
+_white_square_png_id = "opaque-3-channel-png-white_square"
+
+
+def _test_devices() -> list[torch.device]:
+    return [_device_cpu, _device_cuda]
+
+
+def _test_devices_ids() -> list[str]:
+    return ["cpu", "cuda"]
+
+
+def _test_images_all() -> list[str]:
+    return [
+        _plane_jpg_path,
+        _plane_png_path,
+        _rgba_png_path,
+        _white_square_jpg_path,
+        _white_square_png_path,
+    ]
+
+
+def _test_images_all_ids() -> list[str]:
+    return [
+        _plane_jpg_id,
+        _plane_png_id,
+        _rgba_png_id,
+        _white_square_jpg_id,
+        _white_square_png_id,
+    ]
+
+
+def _test_images_asymmetric() -> list[str]:
+    return [
+        _plane_jpg_path,
+        _plane_png_path,
+        _rgba_png_path,
+    ]
+
+
+def _test_images_asymmetric_ids() -> list[str]:
+    return [
+        _plane_jpg_id,
+        _plane_png_id,
+        _rgba_png_id,
+    ]
+
+
+def _skip_if_device_not_available(device: Device) -> None:
+    if device == _device_cuda and not torch.cuda.is_available():
+        pytest.skip("This test requires cuda")
+
+
+@pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
+class TestFromFile:
     @pytest.mark.parametrize(
         "resource_path",
-        [
-            "image/plane.jpg",
-            Path("image/plane.jpg"),
+        [*_test_images_all(), *[Path(image_path) for image_path in _test_images_all()]],
+        ids=[
+            *["file-" + image_id for image_id in _test_images_all_ids()],
+            *["path-" + image_id for image_id in _test_images_all_ids()],
         ],
-        ids=["jpg", "jpg_Path"],
     )
-    def test_should_load_jpeg_file(self, resource_path: str | Path) -> None:
-        Image.from_jpeg_file(resolve_resource_path(resource_path))
+    def test_should_load_from_file(self, resource_path: str | Path, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        assert image != Image(torch.empty(1, 1, 1))
 
     @pytest.mark.parametrize(
         "resource_path",
         [
             "image/missing_file.jpg",
             Path("image/missing_file.jpg"),
+            "image/missing_file.png",
+            Path("image/missing_file.png"),
         ],
-        ids=["missing_file_jpg", "missing_file_jpg_Path"],
+        ids=["missing_file_jpg", "missing_file_jpg_Path", "missing_file_png", "missing_file_png_Path"],
     )
-    def test_should_raise_if_file_not_found(self, resource_path: str | Path) -> None:
+    def test_should_raise_if_file_not_found(self, resource_path: str | Path, device: Device) -> None:
+        _skip_if_device_not_available(device)
         with pytest.raises(FileNotFoundError):
-            Image.from_jpeg_file(resolve_resource_path(resource_path))
+            Image.from_file(resolve_resource_path(resource_path), device)
 
 
-class TestFromPngFile:
+@pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
+class TestFromBytes:
     @pytest.mark.parametrize(
         "resource_path",
-        [
-            "image/plane.png",
-            Path("image/plane.png"),
-        ],
-        ids=["png", "png_Path"],
+        [_white_square_jpg_path, _white_square_png_path],
+        ids=[_white_square_jpg_id, _white_square_png_id],
     )
-    def test_should_load_png_file(self, resource_path: str | Path) -> None:
-        Image.from_png_file(resolve_resource_path(resource_path))
+    def test_should_write_and_load_bytes_jpeg(self, resource_path: str | Path, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        image_copy = Image.from_bytes(typing.cast(bytes, image._repr_jpeg_()), device)
+        assert image == image_copy
 
     @pytest.mark.parametrize(
         "resource_path",
-        [
-            "image/missing_file.png",
-            Path("image/missing_file.png"),
-        ],
-        ids=["missing_file_png", "missing_file_png_Path"],
+        _test_images_all(),
+        ids=_test_images_all_ids(),
     )
-    def test_should_raise_if_file_not_found(self, resource_path: str | Path) -> None:
-        with pytest.raises(FileNotFoundError):
-            Image.from_png_file(resolve_resource_path(resource_path))
+    def test_should_write_and_load_bytes_png(self, resource_path: str | Path, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        image_copy = Image.from_bytes(image._repr_png_(), device)
+        assert image == image_copy
 
 
-class TestFormat:
+@pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
+class TestReprJpeg:
     @pytest.mark.parametrize(
-        ("image", "format_"),
-        [
-            (Image.from_jpeg_file(resolve_resource_path("image/white_square.jpg")), ImageFormat.JPEG),
-            (Image.from_png_file(resolve_resource_path("image/white_square.png")), ImageFormat.PNG),
-        ],
-        ids=["jpg", "png"],
+        "resource_path",
+        [_plane_jpg_path, _white_square_jpg_path, _white_square_png_path],
+        ids=[_plane_jpg_id, _white_square_jpg_id, _white_square_png_id],
     )
-    def test_should_return_correct_format(self, image: Image, format_: ImageFormat) -> None:
-        assert image.format == format_
-
+    def test_should_return_bytes(self, resource_path: str | Path, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        assert isinstance(image._repr_jpeg_(), bytes)
 
-class TestProperties:
     @pytest.mark.parametrize(
-        ("image", "width", "height"),
+        "resource_path",
         [
-            (
-                Image.from_jpeg_file(resolve_resource_path("image/white_square.jpg")),
-                1,
-                1,
-            ),
-            (
-                Image.from_png_file(resolve_resource_path("image/plane.png")),
-                568,
-                320,
-            ),
+            _plane_png_path,
+            _rgba_png_path,
         ],
-        ids=["[1,1]", "[568,320]"],
+        ids=[_plane_png_id, _rgba_png_id],
     )
-    def test_should_return_image_properties(self, image: Image, width: int, height: int) -> None:
-        assert image.width == width
-        assert image.height == height
+    def test_should_return_none_if_image_has_alpha_channel(self, resource_path: str | Path, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        assert image._repr_jpeg_() is None
 
 
-class TestToJpegFile:
+@pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
+class TestReprPng:
     @pytest.mark.parametrize(
         "resource_path",
-        ["image/white_square.jpg"],
-        ids=["jpg"],
+        _test_images_all(),
+        ids=_test_images_all_ids(),
     )
-    def test_should_save_jpeg_file_by_str(self, resource_path: str) -> None:
-        image = Image.from_jpeg_file(resolve_resource_path(resource_path))
-
-        with NamedTemporaryFile() as tmp_file:
-            tmp_file.close()
-        with Path(tmp_file.name).open("wb") as tmp_write_file:
-            image.to_jpeg_file(tmp_write_file.name)
-        with Path(tmp_file.name).open("rb") as tmp_read_file:
-            image_read_back = Image.from_jpeg_file(tmp_read_file.name)
+    def test_should_return_bytes(self, resource_path: str | Path, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        assert isinstance(image._repr_png_(), bytes)
 
-        assert image._image.tobytes() == image_read_back._image.tobytes()
 
+@pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
+class TestToJpegFile:
     @pytest.mark.parametrize(
         "resource_path",
-        ["image/white_square.jpg"],
-        ids=["jpg"],
+        [_white_square_jpg_path, _white_square_png_path],
+        ids=[_white_square_jpg_id, _white_square_png_id],
     )
-    def test_should_save_jpeg_file_by_path(self, resource_path: str) -> None:
-        image = Image.from_jpeg_file(resolve_resource_path(resource_path))
-
-        with NamedTemporaryFile() as tmp_file:
-            tmp_file.close()
-        with Path(tmp_file.name).open("wb") as tmp_write_file:
-            image.to_jpeg_file(Path(tmp_write_file.name))
-        with Path(tmp_file.name).open("rb") as tmp_read_file:
-            image_read_back = Image.from_jpeg_file(tmp_read_file.name)
+    def test_should_save_file(self, resource_path: str | Path, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        with NamedTemporaryFile(suffix=".jpg") as tmp_jpeg_file:
+            tmp_jpeg_file.close()
+            with Path(tmp_jpeg_file.name).open("w", encoding="utf-8") as tmp_file:
+                image.to_jpeg_file(tmp_file.name)
+            with Path(tmp_jpeg_file.name).open("r", encoding="utf-8") as tmp_file:
+                image_r = Image.from_file(tmp_file.name)
+        assert image == image_r
 
-        assert image._image.tobytes() == image_read_back._image.tobytes()
-
-
-class TestToPngFile:
     @pytest.mark.parametrize(
         "resource_path",
-        ["image/white_square.png"],
-        ids=["png"],
+        [
+            _plane_png_path,
+            _rgba_png_path,
+        ],
+        ids=[_plane_png_id, _rgba_png_id],
     )
-    def test_should_save_png_file_by_str(self, resource_path: str) -> None:
-        image = Image.from_png_file(resolve_resource_path(resource_path))
-
-        with NamedTemporaryFile() as tmp_file:
-            tmp_file.close()
-        with Path(tmp_file.name).open("wb") as tmp_write_file:
-            image.to_png_file(tmp_write_file.name)
-        with Path(tmp_file.name).open("rb") as tmp_read_file:
-            image_read_back = Image.from_png_file(tmp_read_file.name)
+    def test_should_raise_if_image_has_alpha_channel(self, resource_path: str | Path, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        with NamedTemporaryFile(suffix=".jpg") as tmp_jpeg_file:
+            tmp_jpeg_file.close()
+            with Path(tmp_jpeg_file.name).open("w", encoding="utf-8") as tmp_file, pytest.raises(
+                IllegalFormatError,
+                match=r"This format is illegal. Use one of the following formats: png",
+            ):
+                image.to_jpeg_file(tmp_file.name)
 
-        assert image._image.tobytes() == image_read_back._image.tobytes()
 
+@pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
+class TestToPngFile:
     @pytest.mark.parametrize(
         "resource_path",
-        ["image/white_square.png"],
-        ids=["png"],
+        _test_images_all(),
+        ids=_test_images_all_ids(),
+    )
+    def test_should_save_file(self, resource_path: str | Path, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        with NamedTemporaryFile(suffix=".png") as tmp_png_file:
+            tmp_png_file.close()
+            with Path(tmp_png_file.name).open("w", encoding="utf-8") as tmp_file:
+                image.to_png_file(tmp_file.name)
+            with Path(tmp_png_file.name).open("r", encoding="utf-8") as tmp_file:
+                image_r = Image.from_file(tmp_file.name)
+        assert image == image_r
+
+
+@pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
+class TestProperties:
+    @pytest.mark.parametrize(
+        ("resource_path", "width", "height", "channel"),
+        [
+            (
+                _white_square_jpg_path,
+                1,
+                1,
+                3,
+            ),
+            (
+                _plane_png_path,
+                568,
+                320,
+                4,
+            ),
+            (
+                _rgba_png_path,
+                7,
+                5,
+                4,
+            ),
+        ],
+        ids=["[3,1,1]" + _white_square_jpg_id, "[4,568,320]" + _plane_png_id, "[4,568,320]" + _rgba_png_id],
     )
-    def test_should_save_png_file_by_path(self, resource_path: str) -> None:
-        image = Image.from_png_file(resolve_resource_path(resource_path))
-
-        with NamedTemporaryFile() as tmp_file:
-            tmp_file.close()
-        with Path(tmp_file.name).open("wb") as tmp_write_file:
-            image.to_png_file(Path(tmp_write_file.name))
-        with Path(tmp_file.name).open("rb") as tmp_read_file:
-            image_read_back = Image.from_png_file(tmp_read_file.name)
-
-        assert image._image.tobytes() == image_read_back._image.tobytes()
+    def test_should_return_image_properties(
+        self,
+        resource_path: str,
+        width: int,
+        height: int,
+        channel: int,
+        device: Device,
+    ) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        assert image.width == width
+        assert image.height == height
+        assert image.channel == channel
 
 
-class TestReprJpeg:
+class TestEQ:
+    @pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
     @pytest.mark.parametrize(
         "resource_path",
-        ["image/white_square.jpg"],
-        ids=["jpg"],
+        _test_images_all(),
+        ids=_test_images_all_ids(),
     )
-    def test_should_return_bytes_if_image_is_jpeg(self, resource_path: str) -> None:
-        image = Image.from_jpeg_file(resolve_resource_path(resource_path))
-        assert isinstance(image._repr_jpeg_(), bytes)
+    def test_should_be_equal(self, resource_path: str, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        image2 = Image.from_file(resolve_resource_path(resource_path), device)
+        assert image == image2
+
+    @pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
+    def test_should_not_be_equal(self, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(_plane_png_path), device)
+        image2 = Image.from_file(resolve_resource_path(_white_square_png_path), device)
+        assert image != image2
 
     @pytest.mark.parametrize(
         "resource_path",
-        ["image/white_square.png"],
-        ids=["png"],
+        _test_images_all(),
+        ids=_test_images_all_ids(),
     )
-    def test_should_return_none_if_image_is_not_jpeg(self, resource_path: str) -> None:
-        image = Image.from_png_file(resolve_resource_path(resource_path))
-        assert image._repr_jpeg_() is None
+    def test_should_be_equal_different_devices(self, resource_path: str) -> None:
+        _skip_if_device_not_available(_device_cuda)
+        image = Image.from_file(resolve_resource_path(resource_path), torch.device("cpu"))
+        image2 = Image.from_file(resolve_resource_path(resource_path), torch.device("cuda"))
+        assert image == image2
+        assert image2 == image
 
+    def test_should_not_be_equal_different_devices(self) -> None:
+        _skip_if_device_not_available(_device_cuda)
+        image = Image.from_file(resolve_resource_path(_plane_png_path), torch.device("cpu"))
+        image2 = Image.from_file(resolve_resource_path(_white_square_png_path), torch.device("cuda"))
+        assert image != image2
+        assert image2 != image
 
-class TestReprPng:
+    @pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
     @pytest.mark.parametrize(
         "resource_path",
-        ["image/white_square.png"],
-        ids=["png"],
+        _test_images_all(),
+        ids=_test_images_all_ids(),
     )
-    def test_should_return_bytes_if_image_is_png(self, resource_path: str) -> None:
-        image = Image.from_png_file(resolve_resource_path(resource_path))
-        assert isinstance(image._repr_png_(), bytes)
+    def test_should_raise(self, resource_path: str, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        other = Table()
+        assert (image.__eq__(other)) is NotImplemented
+
 
+@pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
+class TestResize:
     @pytest.mark.parametrize(
         "resource_path",
-        ["image/white_square.jpg"],
-        ids=["jpg"],
+        _test_images_all(),
+        ids=_test_images_all_ids(),
     )
-    def test_should_return_none_if_image_is_not_png(self, resource_path: str) -> None:
-        image = Image.from_jpeg_file(resolve_resource_path(resource_path))
-        assert image._repr_png_() is None
-
-
-class TestResize:
     @pytest.mark.parametrize(
-        ("image", "new_width", "new_height", "new_size"),
+        ("new_width", "new_height"),
         [
             (
-                Image.from_png_file(resolve_resource_path("image/white_square.png")),
                 2,
                 3,
-                (2, 3),
+            ),
+            (
+                700,
+                400,
             ),
         ],
-        ids=["(2, 3)"],
+        ids=["(2, 3)", "(700, 400)"],
     )
     def test_should_return_resized_image(
         self,
-        image: Image,
+        resource_path: str,
         new_width: int,
         new_height: int,
-        new_size: tuple[int, int],
+        snapshot_png: SnapshotAssertion,
+        device: Device,
     ) -> None:
-        assert image.resize(new_width, new_height)._image.size == new_size
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        new_image = image.resize(new_width, new_height)
+        assert new_image.width == new_width
+        assert new_image.height == new_height
+        assert image.width != new_width
+        assert image.height != new_height
+        assert image != new_image
+        assert new_image == snapshot_png
 
 
-class TestConvertToGrayscale:
+class TestDevices:
     @pytest.mark.parametrize(
         "resource_path",
-        ["image/plane.png"],
-        ids=["plane"],
+        _test_images_all(),
+        ids=_test_images_all_ids(),
     )
-    def test_convert_to_grayscale(self, resource_path: str, snapshot_png: SnapshotAssertion) -> None:
-        image = Image.from_png_file(resolve_resource_path(resource_path))
-        assert image.convert_to_grayscale() == snapshot_png
+    def test_should_change_device(self, resource_path: str) -> None:
+        _skip_if_device_not_available(_device_cuda)
+        image = Image.from_file(resolve_resource_path(resource_path), torch.device("cpu"))
+        new_device = torch.device("cuda", 0)
+        assert image._set_device(new_device).device == new_device
 
 
-class TestEquals:
-    def test_should_be_equal(self) -> None:
-        image = Image.from_png_file(resolve_resource_path("image/white_square.png"))
-        image2 = Image.from_png_file(resolve_resource_path("image/white_square.png"))
-        assert image == image2
+@pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
+class TestConvertToGrayscale:
+    @pytest.mark.parametrize(
+        "resource_path",
+        _test_images_all(),
+        ids=_test_images_all_ids(),
+    )
+    def test_convert_to_grayscale(self, resource_path: str, snapshot_png: SnapshotAssertion, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        grayscale_image = image.convert_to_grayscale()
+        assert grayscale_image == snapshot_png
 
-    def test_should_not_be_equal(self) -> None:
-        image = Image.from_png_file(resolve_resource_path("image/white_square.png"))
-        image2 = Image.from_png_file(resolve_resource_path("image/plane.png"))
-        assert image != image2
 
-    def test_should_raise(self) -> None:
-        image = Image.from_png_file(resolve_resource_path("image/white_square.png"))
-        other = Table()
-        assert (image.__eq__(other)) is NotImplemented
+@pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
+class TestCrop:
+    @pytest.mark.parametrize(
+        "resource_path",
+        _test_images_all(),
+        ids=_test_images_all_ids(),
+    )
+    def test_should_return_cropped_image(
+        self,
+        resource_path: str,
+        snapshot_png: SnapshotAssertion,
+        device: Device,
+    ) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        image = image.crop(0, 0, 100, 100)
+        assert image == snapshot_png
 
 
+@pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
 class TestFlipVertically:
     @pytest.mark.parametrize(
         "resource_path",
-        ["image/plane.png"],
-        ids=["plane"],
+        _test_images_asymmetric(),
+        ids=_test_images_asymmetric_ids(),
     )
-    def test_should_flip_vertically(self, resource_path: str, snapshot_png: SnapshotAssertion) -> None:
-        image = Image.from_png_file(resolve_resource_path(resource_path))
-        assert image.flip_vertically() == snapshot_png
+    def test_should_flip_vertically(self, resource_path: str, snapshot_png: SnapshotAssertion, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        image_flip_v = image.flip_vertically()
+        assert image != image_flip_v
+        assert image_flip_v == snapshot_png
 
-    def test_should_be_original_if_flipped_twice(self) -> None:
-        original = Image.from_png_file(resolve_resource_path("image/plane.png"))
-        flipped_twice = original.flip_vertically().flip_vertically()
-        assert original == flipped_twice
+    @pytest.mark.parametrize(
+        "resource_path",
+        _test_images_all(),
+        ids=_test_images_all_ids(),
+    )
+    def test_should_be_original(self, resource_path: str, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        image_flip_v_v = image.flip_vertically().flip_vertically()
+        assert image == image_flip_v_v
 
 
+@pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
 class TestFlipHorizontally:
     @pytest.mark.parametrize(
         "resource_path",
-        ["image/plane.png"],
-        ids=["plane"],
+        _test_images_asymmetric(),
+        ids=_test_images_asymmetric_ids(),
     )
-    def test_should_flip_horizontally(self, resource_path: str, snapshot_png: SnapshotAssertion) -> None:
-        image = Image.from_png_file(resolve_resource_path(resource_path))
-        assert image.flip_horizontally() == snapshot_png
-
-    def test_should_be_original_if_flipped_twice(self) -> None:
-        original = Image.from_png_file(resolve_resource_path("image/plane.png"))
-        flipped_twice = original.flip_horizontally().flip_horizontally()
-        assert original == flipped_twice
-
+    def test_should_flip_horizontally(
+        self,
+        resource_path: str,
+        snapshot_png: SnapshotAssertion,
+        device: Device,
+    ) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        image_flip_h = image.flip_horizontally()
+        assert image != image_flip_h
+        assert image_flip_h == snapshot_png
 
-class TestAdjustContrast:
     @pytest.mark.parametrize(
-        ("resource_path", "factor"),
-        [
-            ("image/plane.png", 0.75),
-            ("image/plane.png", 5),
-        ],
-        ids=["small factor", "large factor"],
+        "resource_path",
+        _test_images_all(),
+        ids=_test_images_all_ids(),
     )
-    def test_should_adjust_contrast(self, resource_path: str, factor: float, snapshot_png: SnapshotAssertion) -> None:
-        image = Image.from_png_file(resolve_resource_path(resource_path))
-        assert image.adjust_contrast(factor) == snapshot_png
+    def test_should_be_original(self, resource_path: str, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        image_flip_h_h = image.flip_horizontally().flip_horizontally()
+        assert image == image_flip_h_h
 
-    def test_should_not_adjust_contrast(self) -> None:
-        original = Image.from_png_file(resolve_resource_path("image/plane.png"))
-        with pytest.warns(
-            UserWarning,
-            match="Contrast adjustment factor is 1.0, this will not make changes to the image.",
-        ):
-            adjusted = original.adjust_contrast(1)
-        assert original == adjusted
 
-    def test_should_raise(self) -> None:
-        image = Image.from_png_file(resolve_resource_path("image/plane.png"))
-        with pytest.raises(OutOfBoundsError, match=r"factor \(=-1\) is not inside \[0, \u221e\)."):
-            image.adjust_contrast(-1)
-
-
-class TestAdjustBrightness:
+@pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
+class TestBrightness:
+    @pytest.mark.parametrize("factor", [0.5, 10], ids=["small factor", "large factor"])
     @pytest.mark.parametrize(
-        ("resource_path", "factor"),
-        [
-            ("image/plane.png", 0.5),
-            ("image/plane.png", 10),
-        ],
-        ids=["small factor", "large factor"],
+        "resource_path",
+        [_plane_jpg_path, _plane_png_path],
+        ids=[_plane_jpg_id, _plane_png_id],
     )
-    def test_should_adjust_brightness(self, resource_path: str, factor: float, snapshot_png: SnapshotAssertion) -> None:
-        image = Image.from_png_file(resolve_resource_path(resource_path))
-        assert image.adjust_brightness(factor) == snapshot_png
+    def test_should_adjust_brightness(
+        self,
+        factor: float,
+        resource_path: str,
+        snapshot_png: SnapshotAssertion,
+        device: Device,
+    ) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        image_adjusted_brightness = image.adjust_brightness(factor)
+        assert image != image_adjusted_brightness
+        assert image_adjusted_brightness == snapshot_png
 
-    def test_should_not_brighten(self) -> None:
-        image = Image.from_png_file(resolve_resource_path("image/plane.png"))
+    @pytest.mark.parametrize(
+        "resource_path",
+        _test_images_all(),
+        ids=_test_images_all_ids(),
+    )
+    def test_should_not_brighten(self, resource_path: str, device: Device) -> None:
+        _skip_if_device_not_available(device)
         with pytest.warns(
             UserWarning,
             match="Brightness adjustment factor is 1.0, this will not make changes to the image.",
         ):
+            image = Image.from_file(resolve_resource_path(resource_path), device)
             image2 = image.adjust_brightness(1)
-        assert image == image2
-
-    def test_should_raise(self) -> None:
-        image = Image.from_png_file(resolve_resource_path("image/plane.png"))
-        with pytest.raises(OutOfBoundsError, match=r"factor \(=-1\) is not inside \[0, \u221e\)."):
-            image.adjust_brightness(-1)
+            assert image == image2
 
-
-class TestInvertColors:
     @pytest.mark.parametrize(
         "resource_path",
-        ["image/plane.png"],
-        ids=["invert-colors"],
+        _test_images_all(),
+        ids=_test_images_all_ids(),
     )
-    def test_should_invert_colors(self, resource_path: str, snapshot_png: SnapshotAssertion) -> None:
-        image = Image.from_png_file(resolve_resource_path(resource_path))
-        assert image.invert_colors() == snapshot_png
+    def test_should_raise(self, resource_path: str, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        with pytest.raises(OutOfBoundsError, match=r"factor \(=-1\) is not inside \[0, \u221e\)."):
+            image.adjust_brightness(-1)
 
 
-class TestColorAdjust:
+@pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
+class TestAddNoise:
     @pytest.mark.parametrize(
-        ("resource_path", "factor"),
+        "standard_deviation",
         [
-            ("image/plane.png", 2),
-            ("image/plane.png", 0.5),
-            ("image/plane.png", 0),
+            0.0,
+            0.7,
+            2.5,
         ],
-        ids=["add color", "remove color", "remove all color"],
+        ids=["minimum noise", "some noise", "very noisy"],
     )
-    def test_should_adjust_colors(self, resource_path: str, factor: float, snapshot_png: SnapshotAssertion) -> None:
-        image = Image.from_png_file(resolve_resource_path(resource_path))
-        assert image.adjust_color_balance(factor) == snapshot_png
-
     @pytest.mark.parametrize(
-        ("resource_path", "factor"),
-        [
-            ("image/plane.png", -1),
-        ],
-        ids=["negative"],
+        "resource_path",
+        _test_images_all(),
+        ids=_test_images_all_ids(),
     )
-    def test_should_throw(self, resource_path: str, factor: float) -> None:
-        image = Image.from_png_file(resolve_resource_path(resource_path))
-        with pytest.raises(OutOfBoundsError, match=rf"factor \(={factor}\) is not inside \[0, \u221e\)."):
-            image.adjust_color_balance(factor)
+    def test_should_add_noise(
+        self,
+        resource_path: str,
+        standard_deviation: float,
+        snapshot_png: SnapshotAssertion,
+        device: Device,
+    ) -> None:
+        _skip_if_device_not_available(device)
+        torch.manual_seed(0)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        image_noise = image.add_noise(standard_deviation)
+        assert image_noise == snapshot_png
 
     @pytest.mark.parametrize(
-        ("resource_path", "factor"),
-        [
-            ("image/plane.png", 1),
-        ],
-        ids=["no change"],
+        "standard_deviation",
+        [-1],
+        ids=["sigma below zero"],
     )
-    def test_should_warn(self, resource_path: str, factor: float) -> None:
-        original = Image.from_png_file(resolve_resource_path(resource_path))
-        with pytest.warns(
-            UserWarning,
-            match="Color adjustment factor is 1.0, this will not make changes to the image.",
+    @pytest.mark.parametrize(
+        "resource_path",
+        _test_images_all(),
+        ids=_test_images_all_ids(),
+    )
+    def test_should_raise_standard_deviation(
+        self,
+        resource_path: str,
+        standard_deviation: float,
+        device: Device,
+    ) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        with pytest.raises(
+            OutOfBoundsError,
+            match=rf"standard_deviation \(={standard_deviation}\) is not inside \[0, \u221e\)\.",
         ):
-            adjusted = original.adjust_color_balance(factor)
-        assert adjusted == original
+            image.add_noise(standard_deviation)
 
 
-class TestAddGaussianNoise:
+@pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
+class TestAdjustContrast:
+    @pytest.mark.parametrize("factor", [0.75, 5], ids=["small factor", "large factor"])
     @pytest.mark.parametrize(
-        ("resource_path", "standard_deviation"),
-        [
-            ("image/plane.png", 0.0),
-            ("image/plane.png", 0.7),
-            ("image/plane.png", 2.5),
-        ],
-        ids=["minimum noise", "some noise", "very noisy"],
+        "resource_path",
+        [_plane_jpg_path, _plane_png_path],
+        ids=[_plane_jpg_id, _plane_png_id],
     )
-    def test_should_add_noise(
+    def test_should_adjust_contrast(
         self,
+        factor: float,
         resource_path: str,
-        standard_deviation: float,
         snapshot_png: SnapshotAssertion,
+        device: Device,
     ) -> None:
-        image = Image.from_png_file(resolve_resource_path(resource_path))
-        assert image.add_gaussian_noise(standard_deviation) == snapshot_png
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        image_adjusted_contrast = image.adjust_contrast(factor)
+        assert image != image_adjusted_contrast
+        assert image_adjusted_contrast == snapshot_png
 
     @pytest.mark.parametrize(
-        ("resource_path", "standard_deviation"),
-        [("image/plane.png", -1)],
-        ids=["sigma below zero"],
+        "resource_path",
+        _test_images_all(),
+        ids=_test_images_all_ids(),
     )
-    def test_should_raise_standard_deviation(self, resource_path: str, standard_deviation: float) -> None:
-        image = Image.from_png_file(resolve_resource_path(resource_path))
-
-        with pytest.raises(
-            OutOfBoundsError,
-            match=rf"standard_deviation \(={standard_deviation}\) is not inside \[0, \u221e\)\.",
+    def test_should_not_adjust_contrast(self, resource_path: str, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        with pytest.warns(
+            UserWarning,
+            match="Contrast adjustment factor is 1.0, this will not make changes to the image.",
         ):
-            image.add_gaussian_noise(standard_deviation)
+            image = Image.from_file(resolve_resource_path(resource_path), device)
+            image_adjusted_contrast = image.adjust_contrast(1)
+            assert image == image_adjusted_contrast
 
+    @pytest.mark.parametrize(
+        "resource_path",
+        _test_images_all(),
+        ids=_test_images_all_ids(),
+    )
+    def test_should_raise_negative_contrast(self, resource_path: str, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        with pytest.raises(OutOfBoundsError, match=r"factor \(=-1.0\) is not inside \[0, \u221e\)."):
+            Image.from_file(resolve_resource_path(resource_path), device).adjust_contrast(-1.0)
 
+
+@pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
 class TestBlur:
     @pytest.mark.parametrize(
         "resource_path",
-        ["image/plane.png"],
-        ids=["blur"],
+        _test_images_asymmetric(),
+        ids=_test_images_asymmetric_ids(),
     )
-    def test_should_return_blurred_image(self, resource_path: str, snapshot_png: SnapshotAssertion) -> None:
-        image = Image.from_png_file(resolve_resource_path(resource_path))
-        assert image.blur(2) == snapshot_png
+    def test_should_return_blurred_image(
+        self,
+        resource_path: str,
+        snapshot_png: SnapshotAssertion,
+        device: Device,
+    ) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device=device)
+        image_blurred = image.blur(2)
+        assert image_blurred == snapshot_png
 
 
-class TestCrop:
+@pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
+class TestSharpen:
+    @pytest.mark.parametrize("factor", [0, 0.5, 10], ids=["zero factor", "small factor", "large factor"])
     @pytest.mark.parametrize(
         "resource_path",
-        ["image/plane.png"],
-        ids=["crop"],
+        [_plane_jpg_path, _plane_png_path],
+        ids=[_plane_jpg_id, _plane_png_id],
     )
-    def test_should_return_cropped_image(self, resource_path: str, snapshot_png: SnapshotAssertion) -> None:
-        image = Image.from_png_file(resolve_resource_path(resource_path))
-        assert image.crop(0, 0, 100, 100) == snapshot_png
+    def test_should_sharpen(
+        self,
+        factor: float,
+        resource_path: str,
+        snapshot_png: SnapshotAssertion,
+        device: Device,
+    ) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        image_sharpened = image.sharpen(factor)
+        assert image != image_sharpened
+        assert image_sharpened == snapshot_png
 
+    @pytest.mark.parametrize(
+        "resource_path",
+        _test_images_all(),
+        ids=_test_images_all_ids(),
+    )
+    def test_should_raise_negative_sharpen(self, resource_path: str, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        with pytest.raises(OutOfBoundsError, match=r"factor \(=-1.0\) is not inside \[0, \u221e\)."):
+            Image.from_file(resolve_resource_path(resource_path), device).sharpen(-1.0)
 
-class TestSharpen:
     @pytest.mark.parametrize(
-        ("resource_path", "factor"),
-        [
-            ("image/plane.png", -1),
-            ("image/plane.png", 0.5),
-            ("image/plane.png", 10),
-        ],
-        ids=["negative factor", "small factor", "large factor"],
+        "resource_path",
+        _test_images_all(),
+        ids=_test_images_all_ids(),
     )
-    def test_should_sharpen(self, resource_path: str, factor: float, snapshot_png: SnapshotAssertion) -> None:
-        image = Image.from_png_file(resolve_resource_path(resource_path))
-        assert image.sharpen(factor) == snapshot_png
+    def test_should_not_sharpen(self, resource_path: str, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        with pytest.warns(UserWarning, match="Sharpen factor is 1.0, this will not make changes to the image."):
+            image = Image.from_file(resolve_resource_path(resource_path), device)
+            image_sharpened = image.sharpen(1)
+            assert image == image_sharpened
 
-    def test_should_not_sharpen_if_factor_is_1(self) -> None:
-        image = Image.from_png_file(resolve_resource_path("image/plane.png"))
-        image2 = image.sharpen(1)
-        assert image == image2
+
+@pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
+class TestInvertColors:
+    @pytest.mark.parametrize(
+        "resource_path",
+        _test_images_all(),
+        ids=_test_images_all_ids(),
+    )
+    def test_should_invert_colors(self, resource_path: str, snapshot_png: SnapshotAssertion, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        image_inverted_colors = image.invert_colors()
+        assert image_inverted_colors == snapshot_png
 
 
+@pytest.mark.parametrize("device", _test_devices(), ids=_test_devices_ids())
 class TestRotate:
     @pytest.mark.parametrize(
         "resource_path",
-        ["image/plane.png"],
-        ids=["rotate-clockwise"],
+        _test_images_all(),
+        ids=_test_images_all_ids(),
     )
-    def test_should_return_clockwise_rotated_image(self, resource_path: str, snapshot_png: SnapshotAssertion) -> None:
-        image = Image.from_png_file(resolve_resource_path(resource_path))
-        assert image.rotate_right() == snapshot_png
+    def test_should_return_clockwise_rotated_image(
+        self,
+        resource_path: str,
+        snapshot_png: SnapshotAssertion,
+        device: Device,
+    ) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        image_right_rotated = image.rotate_right()
+        assert image_right_rotated == snapshot_png
 
     @pytest.mark.parametrize(
         "resource_path",
-        ["image/plane.png"],
-        ids=["rotate-counter-clockwise"],
+        _test_images_all(),
+        ids=_test_images_all_ids(),
     )
     def test_should_return_counter_clockwise_rotated_image(
         self,
         resource_path: str,
         snapshot_png: SnapshotAssertion,
+        device: Device,
     ) -> None:
-        image = Image.from_png_file(resolve_resource_path(resource_path))
-        assert image.rotate_left() == snapshot_png
-
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        image_left_rotated = image.rotate_left()
+        assert image_left_rotated == snapshot_png
 
-class TestFindEdges:
     @pytest.mark.parametrize(
         "resource_path",
-        ["image/plane.png"],
-        ids=["find_edges"],
+        _test_images_all(),
+        ids=_test_images_all_ids(),
     )
-    def test_should_return_edges_of_image(self, resource_path: str, snapshot_png: SnapshotAssertion) -> None:
-        image = Image.from_png_file(resolve_resource_path(resource_path))
-        assert image.find_edges() == snapshot_png
+    def test_should_return_flipped_image(self, resource_path: str, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        image_left_rotated = image.rotate_left().rotate_left()
+        image_right_rotated = image.rotate_right().rotate_right()
+        image_flipped_h_v = image.flip_horizontally().flip_vertically()
+        image_flipped_v_h = image.flip_horizontally().flip_vertically()
+        assert image_left_rotated == image_right_rotated
+        assert image_left_rotated == image_flipped_h_v
+        assert image_left_rotated == image_flipped_v_h
+
+    @pytest.mark.parametrize(
+        "resource_path",
+        _test_images_all(),
+        ids=_test_images_all_ids(),
+    )
+    def test_should_be_original(self, resource_path: str, device: Device) -> None:
+        _skip_if_device_not_available(device)
+        image = Image.from_file(resolve_resource_path(resource_path), device)
+        image_left_right_rotated = image.rotate_left().rotate_right()
+        image_right_left_rotated = image.rotate_right().rotate_left()
+        image_left_l_l_l_l = image.rotate_left().rotate_left().rotate_left().rotate_left()
+        image_left_r_r_r_r = image.rotate_right().rotate_right().rotate_right().rotate_right()
+        assert image == image_left_right_rotated
+        assert image == image_right_left_rotated
+        assert image == image_left_l_l_l_l
+        assert image == image_left_r_r_r_r
diff --git a/tests/safeds/data/image/typing/test_image_format.py b/tests/safeds/data/image/typing/test_image_format.py
deleted file mode 100644
index 50756746b..000000000
--- a/tests/safeds/data/image/typing/test_image_format.py
+++ /dev/null
@@ -1,14 +0,0 @@
-import pytest
-from safeds.data.image.typing import ImageFormat
-
-
-class TestValue:
-    @pytest.mark.parametrize(
-        ("image_format", "expected_value"),
-        [
-            (ImageFormat.JPEG, "jpeg"),
-            (ImageFormat.PNG, "png"),
-        ],
-    )
-    def test_should_return_correct_value(self, image_format: ImageFormat, expected_value: str) -> None:
-        assert image_format.value == expected_value