International Research Journal of Education and Technology

We have a large number of devices by which we can take pictures, from a digital camera to a cell phone. Problem is that usually we take the picture we don’t see some errors that can be present in the image until we observe it in a computer or printed image. Now the real problem arises because it is almost impossible to recapture the same moment in a new photo. Hence to find a solution for this problem comes the need to implement a method to correct some of the defects that appear.. However, most of these approaches can only find approximate nearest patch and do not explore the sequential overlap between patches. Hence, they are neither accurate in quality nor optimal in speed. Image restoration is an art to improve the quality of image via estimating the amount of noises and blur involved in the image. With the passage of time, image gets degraded due to different atmospheric and environmental conditions, so it is required to restore the original image using different image processing algorithms. There is a wide spread application of image restoration in today’s world. Application area varies from restoration of old images in museum and radar based image acquisition and restoration. This paper gives a review of different image restoration techniques used.