We present novel wavelet-based inpainting algorithms. Applying ideas from anisotropic regularization and diffusion our models can better handle degraded pixels at edges. We interpret our algorithms within the framework of forward-backward splitting methods in convex analysis and prove that the conditions to ensure their convergence are fulfilled. Numerical examples illustrate the good performance of our algorithms.
R. H. Chan, Simon Setzer, Gabriele Steidl