doi: 10.4304/jsw.9.7.1862-1867
Super-resolution Reconstruction Algorithm Based on Patch Similarity and Back-projection Modification
- 1 Digital Media College, Sichuan Normal University, Chengdu, China
- 2 Information Engineering Department, Hubei University for Nationalities, Enshi, China
- 3 College 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.
Keywords
- Super-resolution
- patch similarity
- back
How to Cite
Wei-long Chen, Li Guo, Wu He, Wei Wu, and 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. https://doi.org/ 10.4304/jsw.9.7.1862-1867
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).