Two Stage Image Restoration based on Histogram Equalization and Edge Computation for Image

Abstract

Image restoration is the basic technology in image processing to increase the contrast and brightness of the image. Also, this technique should help to characterize the content of an image with high efficiency. It is widely used in many applications. This paper introduces the potential of the two stages functional in an image for image restoration. In the first stage, pair wise pixel histogram equalization is introduced to enhance the image content. For the betterment in the visual quality of foreground region present in the image, the image are analysed by finding edges of the object in the second stage. Also, markov chain transition is used for efficient edge detection.