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Proceedings Paper

Single-scale center-surround Retinex based restoration of low-illumination images with edge enhancement
Author(s): Ngaiming Kwok; Haiyan Shi; Yeping Peng; Hongkun Wu; Ruowei Li; Shilong Liu; Md Arifur Rahman
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Paper 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.

Paper Details

Date Published: 10 April 2018
PDF: 10 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106152R (10 April 2018); doi: 10.1117/12.2302614
Show Author Affiliations
Ngaiming Kwok, Univ. of New South Wales (Australia)
Haiyan Shi, Shaoxing Univ. (China)
Yeping Peng, Shenzhen Univ. (China)
Hongkun Wu, Univ. of New South Wales (Australia)
Ruowei Li, Univ. of New South Wales (Australia)
Shilong Liu, Univ. of New South Wales (Australia)
Md Arifur Rahman, Univ. of New South Wales (Australia)


Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

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