Interactive Image Restoration Using Inpainting and Denoising

Digital in painting is the technique of filling in the missing regions of an image using information from the surrounding area in a visually indistinguishable way. In this paper, we try to improve the Exemplar based method by manipulating the values of various parameters like patch size, shape and size of the mask. We present an analysis of the impact of various geometric parameters on the quality of in painted images. Image denoising refers to the removal of unwanted noise from the images. In most cases, the images which need to be in painted are noisy, which makes it necessary to eliminate noise and fill in the missing regions from neighboring pixels. Therefore, filling in of missing regions and removal of noise are the two very important topics in image processing. This paper also addresses the issue of performing both in painting and denoising simultaneously using two different approaches: pipelined approach and interleaved approach. The effectiveness of these approaches is demonstrated with a number of results on various images.