Hybrid Approach for Single Image Super Resolution Using ISEF and IBP

This paper addresses the problem of recovering a super-resolved image from a single low resolution input. This is a hybrid approach of single image super resolution. The technique is based on combining an Iterative back projection (IBP) method with the edge preserving Infinite symmetrical exponential filter (ISEF). Though IBP can minimize the reconstruction error significantly in iterative manner and gives good result, it suffers from ringing effect and chessboard effect because error is back-projected without edge guidance. ISEF provides edge-smoothing image by adding high frequency information. Proposed algorithm integrates ISEF with IBP which improves visual quality with very fine edge details. The method is applied on different type of images including face image, natural image and medical image, the performance is compared with a number of other algorithms, bilinear interpolation, nearest neighbor interpolation and Laplacian of Gaussian (LOG). The method proposed in the paper is shown to be marginally superior to the existing method in terms of visual quality and peak signal to noise ratio (PSNR).