Inpainting by Flexible Haar-Wavelet Shrinkage
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 for ensuring their convergence are fulfilled. Numerical examples illustrate the good performance of our algorithms.
image inpainting anisotropic methods forward-backward algorithm wavelet shrinkage