¹Digital Media College, Sichuan Normal University, Chengdu, China
²Information Engineering Department, Hubei University for Nationalities, Enshi, China
³College of electronics and information engineering, Sichuan University, Chengdu, China

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Abstract—We propose an effective super resolution reconstruction algorithm based on patch similarity and back-projection modification. In the proposed algorithm, we assume patch to be similar in natural images and extract the high-frequency information from the best similar patch to add into goal high-resolution image. In the process of reconstruction, the high-resolution patch is back-projected into the low-resolution patch so as to gain detailed modification. Experiments performed on simulated low-resolution image and real low-resolution image are proved that the proposed super-resolution reconstruction algorithm is effective and efficient to improve the resolution of image and achieve a better visual performance.

Index Terms—Super-resolution, patch similarity, back-projection modification, reconstruction

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Cite: Wei-long Chen, Li Guo, Wu He, Wei Wu, Xiao-min Yang, "Super-resolution Reconstruction Algorithm Based on Patch Similarity and Back-projection Modification," Journal of Software vol. 9, no. 7, pp. 1862-1867, 2014.