Multiple Inpainting of low resolution images using examplar and super resolution algorithm

Inpainting is the process of filling the missing regions in an image. The main aim of this paper is to fill the missing areas using examplar based inpainting and to recover the missing areas and improve the quality of the image using super resolution algorithm. The performance of the algorithm is evaluated using PSNR, mean square error and Histogram error. The damaged image is first downsampled. Then the image is inpainted a number of times using examplar based approach. The inpainted images are combined using loopy belief propagation. The image is finally upsampled and the image quality is improved using a super resolution algorithm.

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