Super-resolution reconstruction algorithm based on local self-similarity

Min Shi; Qingming Yi; Xinzhong Zhao; Yang Bai

doi:10.1117/12.2244842

29 August 2016 Super-resolution reconstruction algorithm based on local self-similarity

Min Shi, Qingming Yi, Xinzhong Zhao, Yang Bai

Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 1003349 (2016) https://doi.org/10.1117/12.2244842
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

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.

Citation Download Citation

Min Shi, Qingming Yi, Xinzhong Zhao, and Yang Bai "Super-resolution reconstruction algorithm based on local self-similarity", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003349 (29 August 2016); https://doi.org/10.1117/12.2244842

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