Improved Seamless Cloning based Image In painting

Abstract

Image in-painting is a restoration of image parts which are missing either accidentally or intentionally, and also image recovery is a research hot spot in the computer graphics and computer vision in the current. Two major inpainting techniques are introduced, those are PDE-based and Texture based algorithms. In PDE-based technique a conventional image matching techniques may be classified as either area based or feature based methods. In this paper, taking an input image and apply Pre-processing, After we get gray image and contour extraction algorithm is used to extract the contour features of damaged area, which determine the contour feature location. After that Matching algorithms play a key role in deciding correspondences between two image scenes. Area-based matching algorithm is used to search alternative matching area .Contour-based Similarity Distance function (CSD) is used to determine the most similar matching area. According to the damaged area and the matching area, the source cloning domains and target cloning domains of Seamless Cloning algorithm is improved. Using mean value coordinates to achieve regional pixel cloning from the source cloning domain to the target cloning domain. Finally, the improved SC algorithm is used to repair the image. Experimental results confirm the effectiveness of the proposed algorithm, and that the method can not only repair small-scale scratches, but also repair a large area damaged areas.