A strongly convergent algorithm for solving common variational inclusion with application to image recovery problems

Abstract

In this paper, we present an accelerated approach for addressing the common variational inclusion problem in real Hilbert spaces that incorporates several techniques. Under conventional and appropriate assumptions, the algorithm's strong convergence theorem is established, and the applicability and benefits of the innovative approach for image recovery problems are demonstrated.