Research on image enhancement based on fuzzy theory

Shuai Yang; Yimin Tian; Hongmei Chen; Meijun Zheng; Jiaxuan Chi; Rui Luo; Yunfei Du

doi:10.1117/12.2631169

18 March 2022 Research on image enhancement based on fuzzy theory

Shuai Yang, Yimin Tian, Hongmei Chen, Meijun Zheng, Jiaxuan Chi, Rui Luo, Yunfei Du

Proceedings Volume 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021); 121680H (2022) https://doi.org/10.1117/12.2631169
Event: International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 2021, Harbin, China

Abstract

Since human visual properties have ambiguity, the neighborhood information of pixels in an image also has ambiguity. Using fuzzy theory for image enhancement allows mathematics to learn the advantages of the human brain in recognition and judgment of ambiguous phenomena, and use precise mathematical methods to deal with things that cannot be accurately represented by mathematics. In the article, the basic concepts of fuzzy theory, several common fuzzy distributions are introduced, and image transform domain enhancement algorithm based on fuzzy theory are studied. It is shown that the fuzzy theory algorithm can improve the contrast of useful information of images and facilitate people to get useful information more quickly.

Citation Download Citation

Shuai Yang, Yimin Tian, Hongmei Chen, Meijun Zheng, Jiaxuan Chi, Rui Luo, and Yunfei Du "Research on image enhancement based on fuzzy theory", Proc. SPIE 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 121680H (18 March 2022); https://doi.org/10.1117/12.2631169

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