You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
First of all, thank you for your contribution. I have a lot of questions about the function of your project. When testing, I pass an image, then Gaussian blurring, and then denoise the image obtained after Gaussian blurring. How should I denoise an already noisy image?
The text was updated successfully, but these errors were encountered:
In case of Gaussian blur, the noise2noise approach does not work because an expectation of noisy images is not equal to the original image. Please refer to the original paper for details.
Hi,Did you resolve the problem?I have a question about predicting a noisey image. Can I input a real image with noise to obtain a denoise image?Look forward to your reply.
First of all, thank you for your contribution. I have a lot of questions about the function of your project. When testing, I pass an image, then Gaussian blurring, and then denoise the image obtained after Gaussian blurring. How should I denoise an already noisy image?
The text was updated successfully, but these errors were encountered: