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Laser & Optoelectronics Progress, Volume. 57, Issue 12, 121016(2020)

Low-Illumination Underwater Image Enhancement Based on White Balance and Relative Total Variation

Wei Zhang and Jichang Guo*
Author Affiliations
  • School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (7)
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    References (24)
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    Figures & Tables(7)
    Algorithm flow chart

    Fig. 1. Algorithm flow chart

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    Color correction results of low illumination underwater images. (a) Low illumination underwater images; (b) color correction results

    Fig. 2. Color correction results of low illumination underwater images. (a) Low illumination underwater images; (b) color correction results

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    Estimation results of illuminance diagram. (a) Original image; (b) λ=0.01; (c) λ=0.02; (d) λ=0.03; (e) λ=0.04; (f) λ=0.05

    Fig. 3. Estimation results of illuminance diagram. (a) Original image; (b) λ=0.01; (c) λ=0.02; (d) λ=0.03; (e) λ=0.04; (f) λ=0.05

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    Comparison of enhancement results of each algorithm. (a) Original image; (b) CLAHE; (c) DCP; (d) Retinex; (e) Dehaze; (f) VCIP; (g) RTV; (h) our method

    Fig. 4. Comparison of enhancement results of each algorithm. (a) Original image; (b) CLAHE; (c) DCP; (d) Retinex; (e) Dehaze; (f) VCIP; (g) RTV; (h) our method

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    Comparison of results based on SIFT application (the first group). (a) Original image; (b) CLAHE; (c) DCP; (d) Retinex; (e) Dehaze; (f) VCIP; (g) RTV; (h) our method

    Fig. 5. Comparison of results based on SIFT application (the first group). (a) Original image; (b) CLAHE; (c) DCP; (d) Retinex; (e) Dehaze; (f) VCIP; (g) RTV; (h) our method

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    Comparison of results based on SIFT application (the second group). (a) Original image; (b) CLAHE; (c) DCP; (d) Retinex; (e) Dehaze; (f) VCIP; (g) RTV; (h) our method

    Fig. 6. Comparison of results based on SIFT application (the second group). (a) Original image; (b) CLAHE; (c) DCP; (d) Retinex; (e) Dehaze; (f) VCIP; (g) RTV; (h) our method

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    • Table 1. Objective evaluation results of underwater images

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      Table 1. Objective evaluation results of underwater images

      ParameterCLAHEDCPRetinexDehazeVCIPRTVOur method
      UISMUIConMUICMUIQMTime /s3.35340.72211.27693.60813.01042.40670.66942.39883.17154.66085.06310.84342.53704.582210.77632.72660.64521.55223.15595.35883.82420.69643.86943.72823.54262.99470.53262.17892.850114.80176.28620.96913.62045.42313.3865
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    Wei Zhang, Jichang Guo. Low-Illumination Underwater Image Enhancement Based on White Balance and Relative Total Variation[J]. Laser & Optoelectronics Progress, 2020, 57(12): 121016

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    Paper Information

    Category: Image Processing

    Received: Sep. 9, 2019

    Accepted: Nov. 2, 2019

    Published Online: Jun. 3, 2020

    The Author Email: Guo Jichang (jcguo@tju.edu.cn)

    DOI:10.3788/LOP57.121016

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology