Sparse representation to solve the problem of image super-resolution

Image Super-Resolution has been an active field of image processing. In this paper, we propose a super-resolution method for grayscale images. The designed framework includes the following stages: First initial interpolation, block extraction and sparse representation for each block. The evaluation of novel method is performed using PSNR, MAE and SSIM as evaluation objective criteria.