A novel scheme of color image inpainting by prioritized patches

The paper introduces a framework for replacing selected foreground region with appropriate background region using inpainting and super-resolution techniques. To get maximum details of the missing area, super-resolution algorithm is used. This scheme makes use of inpainting of low-resolution images easier. Main novelty of the paper is in terms of reducing number of computation time by reducing size of image before inpainting, which is then followed by the image super resolution using bi-cubic interpolation after inpainting. The performance of algorithm is evaluated using run time of implementation and mean square error for resulted output. The results of implementing the scheme are encouraging and reported here.