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Laser & Optoelectronics Progress, Volume. 62, Issue 6, 0637005(2025)

Image Defogging Algorithm for Sea Fog Based on Sky Region Segmentation

Yue Wang1,2、*, Haifeng Zhang2, Fengying Yue1, and Xiaodong Song2
Author Affiliations
  • 1School of Electrical and Control Engineering, North University of China, Taiyuan 030051, Shanxi , China
  • 2Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, Shaanxi , China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (8)
    Equations (12)
    References (23)
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    Paper Information
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    Figures & Tables(8)
    Flowchart of proposed defogging algorithm

    Fig. 1. Flowchart of proposed defogging algorithm

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    Schematic diagram of sky region segmentation. (a) Foggy image; (b) sky region by initially segmentation; (c) growth factor; (d) sky area by accurate segmentation

    Fig. 2. Schematic diagram of sky region segmentation. (a) Foggy image; (b) sky region by initially segmentation; (c) growth factor; (d) sky area by accurate segmentation

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    Labeling maps of atmospheric light intensity. (a) Pixels selected by DCP algorithm; (b) pixels selected by proposed algorithm

    Fig. 3. Labeling maps of atmospheric light intensity. (a) Pixels selected by DCP algorithm; (b) pixels selected by proposed algorithm

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    Comparison of indicators by different methods

    Fig. 4. Comparison of indicators by different methods

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    Defogging images by different methods. (a) Clear images in SMD; (b) foggy images; (c) defogging images by fixed transmittance lower limit; (d) defogging images by proposed method

    Fig. 5. Defogging images by different methods. (a) Clear images in SMD; (b) foggy images; (c) defogging images by fixed transmittance lower limit; (d) defogging images by proposed method

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    Comparison of defogging effects by different algorithms. (a) Foggy images; (b) method in Ref. [7]; (c) method in Ref. [8]; (d) method in Ref. [21]; (e) method in Ref. [19]; (f) method in Ref. [22]; (g) method in Ref. [23]; (h) proposed method

    Fig. 6. Comparison of defogging effects by different algorithms. (a) Foggy images; (b) method in Ref. [7]; (c) method in Ref. [8]; (d) method in Ref. [21]; (e) method in Ref. [19]; (f) method in Ref. [22]; (g) method in Ref. [23]; (h) proposed method

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    • Table 1. Quantitative evaluation results of different methods

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      Table 1. Quantitative evaluation results of different methods

      ImageMethodSSIMPSNR /dBIEσ
      Image 1Ref. ［7］0.92519.8556.0640.000
      Ref. ［8］0.71911.6747.1520.000
      Ref. ［21］0.80714.4577.4390.000
      Ref. ［19］0.89821.3156.3660.000
      Ref. ［22］0.55315.6327.4060.007
      Ref. ［23］0.96919.2856.1890.000
      Proposed method0.94121.6156.9630.000
      Image 2Ref. ［7］0.73811.3397.1750.428
      Ref. ［8］0.79612.8177.4940.522
      Ref. ［21］0.86815.5167.5990.071
      Ref. ［19］0.73612.2667.5140.072
      Ref. ［22］0.69514.5867.7740.161
      Ref. ［23］0.77913.7937.0304.901
      Proposed method0.93515.8257.4440.002
      Image 3Ref. ［7］0.96720.3486.5310.024
      Ref. ［8］0.72110.4296.5551.123
      Ref. ［21］0.90614.0587.1090.224
      Ref. ［19］0.85418.6477.2530.097
      Ref. ［22］0.77918.6346.8520.173
      Ref. ［23］0.89814.6496.0231.576
      Proposed method0.93521.6156.6170.447
      Image 4Ref. ［7］0.90216.1637.0600.000
      Ref. ［8］0.68410.1637.4110.019
      Ref. ［21］0.77313.6397.5710.005
      Ref. ［19］0.72715.9467.6760.002
      Ref. ［22］0.67315.6177.3490.012
      Ref. ［23］0.94719.0066.8910.002
      Proposed method0.91917.2387.2330.000
      Image 5Ref. ［7］0.72510.6295.2080.858
      Ref. ［8］0.78911.7345.2740.006
      Ref. ［21］0.79512.4946.2560.008
      Ref. ［19］0.85618.0946.5620.008
      Ref. ［22］0.71215.1106.8980.015
      Ref. ［23］0.82112.8446.1420.086
      Proposed method0.91418.8896.6670.001

    • Table 2. Evaluation results for dataset in Ref. [19] and Ref. [20] by different methods (mean values)

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      Table 2. Evaluation results for dataset in Ref. [19] and Ref. [20] by different methods (mean values)

      IndicatorRef. ［7］Ref. ［8］Ref. ［21］Ref. ［19］Ref. ［22］Ref. ［23］Proposed method
      SSIM0.8690.7790.8760.8360.7490.8760.920
      PSNR /dB15.76211.76216.68017.71616.89516.70317.023
      IE6.8797.1077.4367.3207.3196.6727.277
      σ0.2490.1580.0690.0340.0422.2510.080
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    Yue Wang, Haifeng Zhang, Fengying Yue, Xiaodong Song. Image Defogging Algorithm for Sea Fog Based on Sky Region Segmentation[J]. Laser & Optoelectronics Progress, 2025, 62(6): 0637005

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    Paper Information

    Category: Digital Image Processing

    Received: Jun. 14, 2024

    Accepted: Aug. 1, 2024

    Published Online: Mar. 5, 2025

    The Author Email:

    DOI:10.3788/LOP241485

    CSTR:32186.14.LOP241485

    Topics

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