Review on various noise models and image restoration techniques

Image restoration is field of digital image processing that includes techniques used to reconstruct an original image scene from degraded quality images. Blur & noise are two main degradations by which the quality image gets ruined. The goal of this paper is to give overview of image restoration techniques to readers, who is just beginning in this field of image restoration. The task of developing restoration algorithms is quite difficult, since the information should not be destroyed during image restoration. The aim of this article is to let the readers to know various methods of digital image restoration with their pros and cons. Digital image restoration is a very broad field, contains many other approaches that have been developed from different perspectives, such as satellite imaging, optics, astronomy, and medical imaging.