The field of digital image processing deals not only with the extraction of features, analysis of images and restoration of images but also with the process of enhancement, filtering and restoration of images. Image restoration is one of the basic steps of processing that deals with making certain improvements in a digital image based on some predefined criteria .The prime objective of restoration is to build or reconstruct an image that has been degraded based on some prior knowledge regarding the phenomena of degradation of images .The process of restoration is objective in nature that is; it aims at a specific goal like removal of blur & noise in an image by means of a deburring function. Image restoration is process of recovering the original image by removing noise and blur from image. Image blur is difficult to avoid in many situations like photography, to remove motion blur caused by camera shake, radar imaging to remove the effect of image system response, etc. Image noise is unwanted signal which comes in image from sensor such as thermal or electrical signal and Environmental condition such as rain, snow etc. Researchers have proposed many methods in this regard and in this paper we will examine and discuss different noise and blur models and restoration method. This Paper generally designed to comparatively the performance of different image restoration technique. The images are degraded by numerous parameters like noises in the environment or blurring of the image during image gaining or during processing of the image. In order to improve the quality of the image so that the required objects can be easily available from the sensed images. It improves the objectivity of the image and removes the noise and blurry content in the image.