Image Inpainting under Single Image

In this paper, image inpainting based on single image is proposed, which is the problem of filling in the occluded or damaged regions of an image by the visible information from other part of the image. The key problems are how to convert the visible information in the image to consistence and to use available information to repair the target part. The first step of our method is to divide all images into different scene planar regions and to retrieve all regions from the projective distortions, so that the visible information can be directly used; then a new inpainting algorithm with a pyramid approach to sub-pixel image fusion based on mutual information is applied. The experiments show that the approach can repair the target image seamlessly. Our theory also develops the techniques of image fusion and makes it more practically.