An improved fast iterative shrinkage thresholding algorithm with an error for image deblurring problem

Abstract

Abstract In this paper, we introduce a new iterative forward-backward splitting method with an error for solving the variational inclusion problem of the sum of two monotone operators in real Hilbert spaces. We suggest and analyze this method under some mild appropriate conditions imposed on the parameters such that another strong convergence theorem for these problem is obtained. We also apply our main result to improve the fast iterative shrinkage thresholding algorithm (IFISTA) with an error for solving the image deblurring problem. Finally, we provide numerical experiments to illustrate the convergence behavior and show the effectiveness of the sequence constructed by the inertial technique to the fast processing with high performance and the fast convergence with good performance of IFISTA.

Keywords

• Variational inclusion problem
• Maximal monotone operator
• Forward-backward method
• Iterative shrinkage thresholding
• Image deblurring problem