Analysis of Inpainting via Universal Shearlet Systems

Currently, thresholding and compressed sensing in combination with both wavelet and shearlet transforms have been very successful in inpaiting tasks. However, numerical results demonstrate that shearlets outperform wavelets in the problem of image inpainting. In this paper we set up a particular model by inspired seismic data and a box mask to model missing data. The challenge is to fill in the box that is attended in corrupted images

Keywords:

Co-Sparsity , Compressed Sensing , 1 Minimization