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Low-light image enhancement using multi-layer fusion and detail recover
Author(s): Qiaosong Chen; Pei Xu; Wenshan Yan; Shangsheng Feng; Xin Deng; Jin Wang
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Paper Abstract

Due to contrast deficiency and blurred details in some low-light images, this paper presents a low-light image enhancement method using multi-layer fusion and detail recovery. Firstly, V channel in HSV color space is copied to three layers: Retinex layer, brightness layer and detail layer. In Retinex layer, the combination of weighted guided image filtering and morphology eliminates halo phenomenon. Meanwhile brightness and details of images are enhanced by the improved Retinex. Adaptive normalization is adopted to enhance brightness further in brightness layer. In detail layer, the improved model of local linear is to obtain more details. Finally, a detail recovery based on pixel arrangement is performed to avoid partial fuzzy details caused fusion. Experimental results show that the proposed method can more effectively highlight image details and improve the contrast.

Paper Details

Date Published: 9 August 2018
PDF: 7 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080628 (9 August 2018); doi: 10.1117/12.2502833
Show Author Affiliations
Qiaosong Chen, Chongqing Univ. of Posts and Telecommunications (China)
Pei Xu, Chongqing Univ. of Posts and Telecommunications (China)
Wenshan Yan, Chongqing Univ. of Posts and Telecommunications (China)
Shangsheng Feng, Chongqing Univ. of Posts and Telecommunications (China)
Xin Deng, Chongqing Univ. of Posts and Telecommunicatio (China)
Jin Wang, Chongqing Univ. of Posts and Telecommunicatio (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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