Chinese Journal of Liquid Crystals and Displays, Volume. 37, Issue 4, 508(2022)

Technical research of composite residual network in low illumination image enhancement

Xing-rui WANG, Yan PIAO*, and Yu-mo WANG
Author Affiliations
  • School of Electronic Information Engineering,Changchun University of Science and Technology,Changchun 130022,China
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    References(20)

    [8] WANG W X, ZHAO H. Haze traffic image enhancement based on improved Retinex and adaptive fractional differential[J]. Optics and Precision Engineering, 28, 1820-1834(2020).

    [18] WEI C, WANG W J, YANG W H et al. Deep retinex decomposition for low-light enhancement[J]. arXiv, 1808.04560(2018).

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    Xing-rui WANG, Yan PIAO, Yu-mo WANG. Technical research of composite residual network in low illumination image enhancement[J]. Chinese Journal of Liquid Crystals and Displays, 2022, 37(4): 508

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    Paper Information

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    Received: Aug. 30, 2021

    Accepted: --

    Published Online: Jun. 20, 2022

    The Author Email: Yan PIAO (piaoyan@cust.edu.cn)

    DOI:10.37188/CJLCD.2021-0228

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