Abstract
In this paper, an effort is made to enlarge a low resolution image. This paper presents an effective novel single image super resolution approach to recover a high resolution image from a single low resolution input image. The approach is based on an Iterative back projection (IBP) method combined with the Canny Edge Detection and error difference image to recover high frequency information. This method is applied on different natural gray images and compared with different existing image super resolution approaches. Simulation results show that the proposed algorithm can more accurately enlarge the low resolution image than previous approaches. Proposed algorithm increases the PSNR and decreases MSE and MAE compared to other existing algorithms and also improves visual quality of an image considerably.
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