Single-scale center-surround Retinex based restoration of low-illumination images with edge enhancement

Ngaiming Kwok; Haiyan Shi; Yeping Peng; Hongkun Wu; Ruowei Li; Shilong Liu; Md Arifur Rahman

doi:10.1117/12.2302614

10 April 2018 Single-scale center-surround Retinex based restoration of low-illumination images with edge enhancement

Ngaiming Kwok, Haiyan Shi, Yeping Peng, Hongkun Wu, Ruowei Li, Shilong Liu, Md Arifur Rahman

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106152R (2018) https://doi.org/10.1117/12.2302614
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

Abstract

Restoring images captured under low-illuminations is an essential front-end process for most image based applications. The Center-Surround Retinex algorithm has been a popular approach employed to improve image brightness. However, this algorithm in its basic form, is known to produce color degradations. In order to mitigate this problem, here the Single-Scale Retinex algorithm is modiﬁed as an edge extractor while illumination is recovered through a non-linear intensity mapping stage. The derived edges are then integrated with the mapped image to produce the enhanced output. Furthermore, in reducing color distortion, the process is conducted in the magnitude sorted domain instead of the conventional Red-Green-Blue (RGB) color channels. Experimental results had shown that improvements with regard to mean brightness, colorfulness, saturation, and information content can be obtained.

Citation Download Citation

Ngaiming Kwok, Haiyan Shi, Yeping Peng, Hongkun Wu, Ruowei Li, Shilong Liu, and Md Arifur Rahman "Single-scale center-surround Retinex based restoration of low-illumination images with edge enhancement", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106152R (10 April 2018); https://doi.org/10.1117/12.2302614

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