Inertial projection and contraction methods for split feasibility problem applied to compressed sensing and image restoration

Abstract

In this work, we design new type of projection methods to solve the split feasibility problem. We prove the convergence theorems under some mild conditions. Finally, we give some applications to compressed sensing and image restoration. Numerical results show that our methods can outperform related algorithms in the literature.