I want to use Robust PCA for image inpainting, i.e. to estimate anomalous (bad) pixels. I assume that the bad pixels are known (mask).
I know how to calculate the Robust PCA using Alternating Direction Method of Multipliers but if somebody has already an implementation in Matlab I would not say no to sharing it. ;) But this is not my question.
How can I use Robust PCA for image inpainting, i.e. estimating the bad pixels? With Robust PCA I have X = L + S where X is my original image matrix for some training images, L is a low rank matrix and S is a sparse matrix.