An adaptive weak light image enhancement method

Wencheng Wang; Zhenxue Chen; Xiaohui Yuan; Fengnian Guan

doi:10.1117/12.2581266

20 January 2021 An adaptive weak light image enhancement method

Wencheng Wang, Zhenxue Chen, Xiaohui Yuan, Fengnian Guan

Proceedings Volume 11719, Twelfth International Conference on Signal Processing Systems; 1171902 (2021) https://doi.org/10.1117/12.2581266
Event: Twelfth International Conference on Signal Processing Systems, 2020, Shanghai, China

Abstract

In this paper, an adaptive method is proposed to address the problems of over-enhancement of weak light image enhancing and adaptivity of parameter settings based on local gamma transform and illumination-reflection model. In which the source image is converted from RGB color space into the YUV color space firstly, and the illumination distribution of the scene is extracted by using a guided filtering function. Then, an adaptive local gamma transform is designed to perform enhancement on the illumination component and the dynamic range of gray-scale is expanded. Finally, the image is changed from YUV space to RGB space. Experimental results shows that the proposed algorithm can not only effectively improve the visual effect of the uneven light image but also reveal more detailed information in dark regions.

Citation Download Citation

Wencheng Wang, Zhenxue Chen, Xiaohui Yuan, and Fengnian Guan "An adaptive weak light image enhancement method", Proc. SPIE 11719, Twelfth International Conference on Signal Processing Systems, 1171902 (20 January 2021); https://doi.org/10.1117/12.2581266

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