A Novel Approach of Image Restoration Based on Hybridization of PSO and GA

Image restoration is the process of reconstructing or deblurring an image which has been degradations of various unwanted factors. In this paper, we propose a method for image restoration technique based on hybridization of PSO and GA. The main drawbacks in a digital image is the presence of noise and degradation during the camera shake, long exposure time, the movement of an object, and not focus the target. Image restoration is very important and necessary in digital image process avoiding the blur. We derive a blurring function, namely point spread function (PSF) which deblur the captured image by reversing the motion effect. It aims to incorporate the advantages of the two methods, where the PSO is effective in localizing the global region and the Genetic algorithm is effective in converging optimization and search problems. Image restoration is a technique which is used to make picture sharp and useful by using mathematical models.