Wavelet inpainting by fractional order total variation

Abstract

Image inpainting in the wavelet domain refers to the recovery of an image from incomplete wavelet coefficients. In this paper, we propose a wavelet inpainting model by using fractional order total variation regularization approach. Moreover, we use a simple but very efficient primal–dual algorithm to calculate the optimal solution. In the light of saddle-point theory, the convergence of new algorithm is guaranteed. Experimental results are presented to show performance of the proposed algorithm.