Opto-Electronic Advances, Volume. 1, Issue 10, 180024(2018)

Underwater image enhancement based on red channel weighted compensation and gamma correction model

[in Chinese]1,2,3,4, [in Chinese]1,2、*, [in Chinese]1,2, [in Chinese]2, and [in Chinese]4
Author Affiliations
  • 1Key Laboratory of Adaptive Optics, Chinese Academy of Sciences, Chengdu 610209, China
  • 2Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
  • 4Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China
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    Figures & Tables(15)
    Light absorption at different wavelengths underwater.
    The sample images.
    RGB channels and corresponding histogram distribution. (a) Original image. (b) R channel. (c) G channel. (d) B channel. (e) Histogram distribution of R. (f) Histogram distribution of G. (g) Histogram distribution of B.
    (a) Underwater image. (b) Estimated theoretical value in red rectangle. (c) RGB color cube.
    (a) Original image. (b) Red channel after compensation. (c) Red channel after guided filtering. (d) New RGB image.
    (a) Histogram. (b) Cumulative histogram.
    Gamma correction curve.
    Algorithm flow. (a) Original image. (b) After compensation. (c) γ =0.8.
    (a) Original image. (b) γ =0.3. (c) γ =0.6. (d) γ =0.9. (e) γ =1.2. (f) γ =1.5.
    Comparison of different methods. (a) Original images. (b) DCP. (c) Histogram equalization. (d) Gray World. (e) UCM. (f) Our results.
    Comparison of different methods of actual underwater images. (a) Original images. (b) Histogram equalization. (c) UDCP. (d) Gray World. (e) UCM. (f) Our result.
    Video restoration by proposed algorithm.
    • Table 1. The entropy of images.

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      Table 1. The entropy of images.

      ImagesOriginal imageHistogram equalizationUDCPGray WorldUCMProposed algorithm
      Example 16.05917.38435.66615.29536.79937.6016
      Example 26.26427.40766.02315.51676.81027.6598
      Example 36.89837.36466.37456.09436.61687.7037
      Example 46.65937.37146.22555.94506.75467.7170
      Example 56.71077.39566.32835.96426.77967.7500
    • Table 2. The contrast of images.

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      Table 2. The contrast of images.

      ImagesOriginal imageHistogram equalizationUDCPGray WorldUCMProposed algorithm
      Example 10.52961.61130.00340.61980.71791.2163
      Example 20.60921.16370.00360.72380.92141.3514
      Example 30.72251.44380.00380.80021.19211.4655
      Example 41.00481.93960.00561.29231.41221.9548
      Example 50.96351.75280.00541.10691.30131.8473
    • Table 3. Calculation time for different resolutions.

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      Table 3. Calculation time for different resolutions.

      ResolutionTime/msSpeedup ratio
      CPUCUDA
      640×480324.3411.1529.09
      720×540381.6511.6032.90
      1080×7201112.0921.7951.04
      1280×8101547.4535.0144.20
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    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Underwater image enhancement based on red channel weighted compensation and gamma correction model[J]. Opto-Electronic Advances, 2018, 1(10): 180024

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    Paper Information

    Category: Original Article

    Received: Oct. 20, 2018

    Accepted: Nov. 8, 2018

    Published Online: Mar. 25, 2019

    The Author Email: (pingyang2516@163.com)

    DOI:10.29026/oea.2018.180024

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