Convergence of the class of methods for solutions of certain sixth-order boundary value problems

Abstract

The nondifferentiable convex optimization has an importance crucial in the image restoration for this and in this article we present the performance of the Prox method adapted to the restoration of noisy images. Following of our article ([12]), we illustrate in this work the superior efficacy of this algorithm "P rox" ( Our first experiments showed that by applying of P rox algorithm for restoration of noised image by the white Gaussian noise we obtain a top results of denosed image with high quality (net, not rehearsed and unsmoothed; textures are preserved) in addition to the convergence of the algorithm is ensured whatever the values of SN R.