MODIFIED Z-ITERATIVE METHOD FOR SIGNAL ENHANCEMENT AND IMAGE DEBLURRING

This study introduces a novel iterative method for nonexpansive mappings in uniform convex Banach spaces. Weak and strong convergence theorems are derived under specific assumptions. To substantiate the theoretical findings, numerical examples are presented, and the fixed point of the nonexpansive mapping is approximated computationally using Matlab R2016a. In addition, the paper discusses the applications of the proposed method in the fields of image deblurring and signal enhancement. Image deblurring techniques aim to reduce the blurriness in an image and restore it to a sharper and more distinct form, whereas signal enhancement involves reducing noise to improve the clarity of a signal, thereby enhancing the signal-to-noise ratio. The main contribution of this work lies in the development of a novel algorithm for both image deblurring and signal enhancement, providing an effective approach to address these challenges.