Deblurring techniques — A comprehensive survey

Abstract

Nowadays the digital images are so common in various fields including computer vision, medicine, military, astronomy, industrial automation and etc. But in most of the cases where the capturing of digital images is so crucial, the process of capturing of images is difficult. The objects may be moving or to catch the object the capturing device may need to move fast or the capturing device may respond a little late which result in a blurred image. As just mentioned blurring may be resulted by various factors independently or cumulatively the inverse operation is not just simple. The solution must invert all artifacts imposed in blurring process. In this paper, a review of various methods used to perform the inverse operation was presented. Some of the methods presented are finally compared using different types of blurred images by calculating peak signal to noise ratio and structural similarity.