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Laser & Optoelectronics Progress, Volume. 56, Issue 3, 031008(2019)

Underwater Image Restoration Method Based on Scene Depth Estimation and White Balance

Chendong Cai1, Guanying Huo1,2、*, Yan Zhou1,2, and Hui Han1
Author Affiliations
  • 1 College of Internet of Things Engineering, Hohai University, Changzhou, Jiangsu 213022, China
  • 2 Changzhou Key Laboratory of Sensor Networks and Environment Sensing, Changzhou, Jiangsu 213022, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (6)
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    References (19)
    Cited By (13)
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    Calculation of scene depth. (a) Sobel edge; (b) close operation; (c) initial scene depth estimation; (d) regress analysis; (e) scene depth estimation

    Fig. 1. Calculation of scene depth. (a) Sobel edge; (b) close operation; (c) initial scene depth estimation; (d) regress analysis; (e) scene depth estimation

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    Comparisons of transmission maps. (a) Original image; (b) RGB histograms; (c) dark channel prior method; (d) proposed method

    Fig. 2. Comparisons of transmission maps. (a) Original image; (b) RGB histograms; (c) dark channel prior method; (d) proposed method

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    Overall flowchart of proposed method

    Fig. 3. Overall flowchart of proposed method

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    Comparison of restoration results of various underwater environment. (a) Original images; (b) method from Ref. [3]; (c) method from Ref. [15]; (d) method from Ref. [8]; (e) method from Ref. [9]; (f) proposed method

    Fig. 4. Comparison of restoration results of various underwater environment. (a) Original images; (b) method from Ref. [3]; (c) method from Ref. [15]; (d) method from Ref. [8]; (e) method from Ref. [9]; (f) proposed method

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    Failure cases of proposed method. (a) Original images; (c) scene depth estimation; (c) transmission map

    Fig. 5. Failure cases of proposed method. (a) Original images; (c) scene depth estimation; (c) transmission map

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    • Table 1. Comparisons of average value of objective quality evaluation metrics

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      Table 1. Comparisons of average value of objective quality evaluation metrics

      MethodLow quality underwater imageLow illumination underwater image
      AveragegradientInformationEntropyUCIQEUIQMAveragegradientInformationEntropyUCIQEUIQM
      Original4.9996.6870.3953.9133.8035.5420.4784.481
      Ref.[3]6.2636.6210.4724.3394.2065.4680.4874.187
      Ref.[15]7.0666.7170.6074.3584.0074.9880.5314.933
      Ref. [8]5.4797.0910.4814.5534.0245.4620.4604.328
      Ref. [9]7.9996.9990.6474.3104.5844.7630.5683.444
      Proposed9.3667.6080.6234.7139.4617.1250.5744.776
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    Chendong Cai, Guanying Huo, Yan Zhou, Hui Han. Underwater Image Restoration Method Based on Scene Depth Estimation and White Balance[J]. Laser & Optoelectronics Progress, 2019, 56(3): 031008

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    Paper Information

    Category: Image Processing

    Received: Jun. 27, 2018

    Accepted: Aug. 31, 2018

    Published Online: Jul. 31, 2019

    The Author Email: Guanying Huo (huoguanying@hhu.edu.cn)

    DOI:10.3788/LOP56.031008

    Topics

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