A Combined Model for Image Inpainting

This paper present a combined method for image inpainting. Inpainting is the art of modifying an image in a visually plausible manner so that it seems reasonable to the human eye. There are numerous and very different approaches to tackle the inpainting problem, these are based upon one the following basic techniques: copy-and-paste texture synthesis, geometric partial differential equations (PDEs), coherence among neighboring pixels, and exemplar based inpainting. We combine these techniques in a variational model, and provide a working algorithm for image inpainting trying to approximate the minimum of the proposed energy functional and its also helpful for video inpainting of stationary back ground by considering the temporal coherence among frames. So obviously say that the combination of all terms of the proposed energy works better than taking each term separately.