The following shows the linear and non-linear Total Variation Denoising algorithms. As can be observed in the following, the energy functional is the only difference:
Let's demonstrate an implementation of total variation denoising using the scikit-image library's restoration module. The principle of total variation denoising is to minimize the total variation of the image, which can be roughly described as the integral of the norm of the image gradient. First, let's create a noisy input image by adding random Gaussian noise with the original input image. Next, let's use the denoise_tv_chambolle() function to do the ...
