Volume 9 Number 7 (Jul. 2014)
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JSW 2014 Vol.9(7): 1862-1867 ISSN: 1796-217X
doi: 10.4304/jsw.9.7.1862-1867

Super-resolution Reconstruction Algorithm Based on Patch Similarity and Back-projection Modification

Wei-long Chen1, Li Guo2, Wu He1, Wei Wu3, Xiao-min Yang3
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

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


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.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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