Laser & Optoelectronics Progress, Volume. 56, Issue 9, 091502(2019)

Hue Preserving Low Illumination Image Enhancement Based on Gene Expression Programming Optimization

Xinyu Jia1, Tingting Li1, Zhaohui Jiang1,2、*, Haiqiu Liu1, and Yuan Rao1,2
Author Affiliations
  • 1 School of Information & Computer, Anhui Agricultural University, Hefei, Anhui 230036, China;
  • 2 Key Laboratory of Technology Integration and Application in Agricultural Internet of Things, Ministry of Agriculture, Hefei, Anhui 230036, China
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    References(22)

    [3] Tan Y L, Li G Y, Duan H X et al. Enhancement of medical image details via wavelet homomorphic filtering transform[J]. Journal of Intelligent Systems, 23, 83-94(2014).

    [6] Zhang X H, Xin Y L, Huang H M et al. Color image enhancement using optimal linear transform with hue preserving and saturation scaling[J]. International Journal of Intelligent Engineering and Systems, 8, 1-9(2015).

    [11] Gorai A, Ghosh A. Hue-preserving color image enhancement using particle swarm optimization. [C]∥ 2011 IEEE Recent Advances in Intelligent Computational Systems, 563-568(2011).

    [18] Tian Q C, Cohen L D. Global and local contrast adaptive enhancement for non-uniform illumination color images. [C]∥ 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 3023-3030(2017).

    [20] Fitschen J H, Nikolova M, Pierre F et al. A variational model for color assignment. [C]∥International Conference on Scale Space and Variational Methods in Computer Vision, 437-448(2015).

    [21] Petro A B, Sbert C, Morel J M. Multiscale Retinex[J]. Image Processing on Line, 4, 71-88(2014).

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    Xinyu Jia, Tingting Li, Zhaohui Jiang, Haiqiu Liu, Yuan Rao. Hue Preserving Low Illumination Image Enhancement Based on Gene Expression Programming Optimization[J]. Laser & Optoelectronics Progress, 2019, 56(9): 091502

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    Paper Information

    Category: Machine Vision

    Received: Oct. 16, 2018

    Accepted: Dec. 4, 2018

    Published Online: Jul. 5, 2019

    The Author Email: Jiang Zhaohui (jiangzh@ahau.edu.cn)

    DOI:10.3788/LOP56.091502

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