Image Deblurring Methods Based On Richardson-Lucy Algorithm

This paper is aimed to deal with image deblurring.Image deblurring aims to re-cover an estimate of the original image from the blurred observations.It is an ill-posed inverse problem and becomes the main topic of digital image processing.Recent years have witnessed significant advances in single image deblurring.Lots of state-of-the-art algorithms have been developed.We propose a simple yet effective regularized algo-rithm based on classical Richardson-Lucy algorithm for single image deblurring in this paper.There are three main parts:first,we look back on the original Richardson-Lucy algorithm and its development.Then we solve the original model with Split Bregman method instead of its original solving process and gain a better solution;We also pro-pose an L₀-regularized prior for both non-blind and blind image deblurring and we have done plenty of experiments to show the effectiveness of our algorithms.Overall,the advantages of our algorithm are its simplicity and efficiency.