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Proceedings Paper

Super-resolution reconstruction algorithm based on local self-similarity
Author(s): Min Shi; Qingming Yi; Xinzhong Zhao; Yang Bai
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Paper Abstract

Super-resolution has been extensively studied for decades, but its application to a real-world image still remains challenging. In this paper, a novel approach for image super-resolution algorithm based on local self-similarity (SRLS) is proposed. First, a limited window is used to bind several similar patches of the input image into a same group. Then the high-resolution image can be inferred by using the image capturing model. The experiment shows that the proposed algorithm achieves improvement in image quality and provides more details.

Paper Details

Date Published: 29 August 2016
PDF: 5 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003349 (29 August 2016); doi: 10.1117/12.2244842
Show Author Affiliations
Min Shi, Jinan Univ. (China)
Qingming Yi, Jinan Univ. (China)
Xinzhong Zhao, Actions (Zhuhai) Technology Co., Ltd. (China)
Yang Bai, Jinan Univ. (China)

Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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