A blind image restoration method based on the genetic algorithm and the fuzzy control

Abstract

A blind image restoration method based on the genetic algorithm (GA) and the fuzzy control (FC) is proposed for the situation that the type of the space-variant point spread function (PSF) is unknown and the additive noise is serious. The image is divided into blocks by the triangle meshes. The standard genetic algorithm (SGA) and the micro-population genetic algorithm (micro-PGA) are used alternately to estimate the PSFs and their corresponding image blocks, respectively. At the end of each evolutionary generation of SGA, the best estimated PSF is corrected by the parametric models through FC, so does the best estimated image block according to the histogram statistics after each iteration of micro-PGA. Experiment results show that the presented method can restore the space variant blurred images effectively, and its power of suppressing noise is strong also.