Laser & Optoelectronics Progress, Volume. 57, Issue 16, 161021(2020)

Low-Illumination-Based Enhancement Algorithm of Color Images with Fog

Weifeng Zhong* and Dongxue Yuan
Author Affiliations
  • School of Automation, Harbin University of Science and Technology, Harbin, Heilongjiang 150080, China
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    References(10)

    [1] Hu H J. Research on detail and color enhancement algorithm in image defogging[D]. Wuhan: Central China Normal University, 1-5(2019).

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    [4] Jobson D J, Rahman Z, Woodell G A. A multiscale Retinex for bridging the gap between color images and the human observation of scenes[J]. IEEE Transactions on Image Processing, 6, 965-976(1997).

    [5] Liu W. Research on image enhancement algorithm based on Retinex theory and Laplacian pyramid reconstruction[D]. Fuxin: Liaoning Technical University, 27-32(2018).

    [6] Xie F Y, Tang M, Zhang R. Review of image enhancement algorithms based on retinex[J]. Journal of Data Acquisition and Processing, 34, 1-11(2019).

    [7] Xiao J S, Shan S S, Duan P F et al. A fast image enhancement algorithm based on fusion of difffferent color spaces[J]. Acta Automatica Sinica, 40, 697-705(2014).

    [8] Lu W, Gao T, Wang C C et al. Low illumination color image enhancement algorithm based on fusion idea under Retinex theory[J]. Science Technology and Engineering, 19, 151-157(2019).

    [10] He K M, Sun J, Tang X O. Single image haze removal using dark channel prior. [C]∥2009 IEEE Conference on Computer Vision and Pattern Recognition, June 20-25, 2009,Miami, FL, USA. New York: IEEE, 1956-1963(2009).

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    Weifeng Zhong, Dongxue Yuan. Low-Illumination-Based Enhancement Algorithm of Color Images with Fog[J]. Laser & Optoelectronics Progress, 2020, 57(16): 161021

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    Paper Information

    Category: Image Processing

    Received: Nov. 15, 2019

    Accepted: Jan. 17, 2020

    Published Online: Aug. 5, 2020

    The Author Email: Weifeng Zhong (457575610@qq.com)

    DOI:10.3788/LOP57.161021

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