Mar-23-2020, 05:42 AM
I want to implement non-local total variation for gamma noise removal using a gradient descent approach( for denoising a noisy image). Can anyone please guide me on the relevant functions available either using open cv, skimage, PyTorch or using TensorFlow?
I am aware of the built-in functions "skimage.restoration.denoise_tv_chambolle" and "skimage.restoration.denoise_tv_bregman". However, they are not non-local methods. Since I want to modify these codes (it is not possible to modify original codes, since it has .so files), I have to implement the same functionality for non-local image processing.
Thank you in advance for your help
I am aware of the built-in functions "skimage.restoration.denoise_tv_chambolle" and "skimage.restoration.denoise_tv_bregman". However, they are not non-local methods. Since I want to modify these codes (it is not possible to modify original codes, since it has .so files), I have to implement the same functionality for non-local image processing.
Thank you in advance for your help