• Laser & Optoelectronics Progress
  • Vol. 56, Issue 9, 091502 (2019)
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
  • show less
    DOI: 10.3788/LOP56.091502 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    References

    [1] Chen J, Zhu Q B, Huang M et al. Recognition of empoasca flavescens based on machine vision[J]. Laser & Optoelectronics Progress, 55, 011502(2018).

    [2] Min W F, Jiang Z H, Li X et al. Area measurement for field crops based on UAV platform and image analysis[J]. Journal of Hunan Agricultural University (Natural Sciences), 43, 212-216(2017).

    [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).

    [4] Lei F, Zhu L, Wang X L. Improved multi scale Retinex enhancement technology on color underwater image[J]. Journal of Chinese Computer Systems, 39, 185-188(2018).

    [5] Zhang J, Zhou P C, Zhang Q. Low-light image enhancement based on iterative multi-scale guided filter Retinex[J]. Journal of Graphics, 39, 1-11(2018).

    [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).

    [7] Yang S, Lee B. Hue-preserving gamut mapping with high saturation[J]. Electronics Letters, 49, 1221-1222(2013). http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6612792

    [8] Hu B B, Lü H J. Gray image enhancement based on improved histogram equalization and SSR algorithm[J]. Chinese Journal of Quantum Electronics, 34, 286-292(2017).

    [9] Zhuang L Y, Guan Y P. Image enhancement via subimage histogram equalization based on mean and variance[J]. Computational Intelligence and Neuroscience, 2017, 1-12(2017). http://europepmc.org/abstract/MED/29403529

    [10] Shin J, Park R H. Histogram-based locality-preserving contrast enhancement[J]. IEEE Signal Processing Letters, 22, 1293-1296(2015). http://ieeexplore.ieee.org/document/7029601/

    [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).

    [12] Dhal K G, Quraishi M I, Das S. Development of firefly algorithm via chaotic sequence and population diversity to enhance the image contrast[J]. Natural Computing, 15, 307-318(2016). http://dl.acm.org/citation.cfm?id=2949439

    [13] Chen J, Yu W Y, Tian J et al. Image contrast enhancement using an artificial bee colony algorithm[J]. Swarm and Evolutionary Computation, 38, 287-294(2018). http://www.sciencedirect.com/science/article/pii/S2210650216305685

    [14] Ferreira C. Gene expression programming: a new adaptive algorithm for solving problems[J]. Complex Systems, 13, 87-129(2001). http://www.ams.org/mathscinet-getitem?mr=1872703

    [15] Jiang Z H, Li T T, Min W F et al. Fuzzy c-means clustering based on weights and gene expression programming[J]. Pattern Recognition Letters, 90, 1-7(2017). http://www.sciencedirect.com/science/article/pii/S0167865517300569

    [16] Li T T, Jiang Z H, Rao Y et al. Image segmentation based on gene expression programming and spatial fuzzy clustering[J]. Journal of Image and Graphics, 22, 575-583(2017).

    [17] Min W F, Jiang Z H, Li T T et al. Multi output RBF network based on GEP optimization of modeling for crop physiological parameters[J]. Journal of Anhui Agricultural University, 44, 165-170(2017).

    [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).

    [19] Arici T, Dikbas S, Altunbasak Y. A histogram modification framework and its application for image contrast enhancement[J]. IEEE Transactions on Image Processing, 18, 1921-1935(2009). http://ieeexplore.ieee.org/document/4895264/

    [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).

    [22] Song R X, Li D, Yu J D. Low illumination image enhancement algorithm based on DT-CWT and tone mapping[J]. Journal of Computer-Aided Design & Computer Graphics, 30, 1305-1312(2018).

    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
    Download Citation