Optics and Precision Engineering, Volume. 33, Issue 11, 1722(2025)

Underwater polarization image restoration based on transmittance-limiting correction

Jin DUAN*, Kehan DONG, Jialin WANG, Xinyu NI, Ruisen FANG, and Haili ZHAO
Author Affiliations
  • School of Telecommunications, Changchun University of Science and Technology, Changchun130022, China
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    Figures & Tables(15)
    Underwater signal transmission model
    Overall flow chart of under-water polarization image restoration algorithm
    Schematic diagram of underwater active illumination imaging devices
    Photo of underwater active illumination imaging devices
    Comparison of DOP image effects under unpolarized active illumination and polarized active illumination conditions
    Comparison of recovery results of different targets in low-concentration turbid water
    Comparison of spatial distribution of grayscale values between original image and target detail image of proposed method
    Comparison of recovery results of different targets in high-concentration turbid water
    Grayscale spatial projection comparison of local magnified images of restoration results under high-concentration turbid water
    Comparison of image restoration results at different distances in simulated real water environment
    Ablation experiment analysis of transmittance limitation correction
    • Table 1. Objective evaluation index results of low-concentration turbid water images

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      Table 1. Objective evaluation index results of low-concentration turbid water images

      MethodCoinBottleRuler
      MeanGradientEntropySNRCMeanGradientEntropySNRCMeanGradientEntropySNRC
      Original35.873.415.260.32121.559.784.270.25131.258.465.410.26
      Yang1129.534.265.6523.150.3557.0411.214.9224.410.3547.229.926.1518.460.41
      Schechner1097.5214.575.5422.920.37177.8515.304.3524.210.34186.9411.945.6714.020.36
      Wang2549.6613.746.4120.120.2589.556.345.2422.320.29105.7711.416.2117.240.19
      DCP262.991.632.225.880.2214.484.434.4315.210.2216.392.474.9712.580.16
      Our63.1317.897.1228.910.41143.9119.376.2426.210.3771.8713.746.7126.430.52
    • Table 2. Objective evaluation index results of high concentration turbid water images

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      Table 2. Objective evaluation index results of high concentration turbid water images

      MethodRulerBottle
      MeanGradientEntropySNRCMeanGradientEntropySNRC
      Original99.262.525.700.2464.011.984.770.19
      Yang11102.749.586.6419.720.2693.627.014.8119.460.21
      Schechner10187.6112.626.5025.490.33186.7614.724.7024.650.28
      Wang25114.5411.366.2922.850.27105.7615.895.7921.620.20
      DCP2618.821.924.809.730.2214.212.144.249.830.16
      Our131.2316.747.2429.370.43148.3118.856.5327.450.37
    • Table 3. Objective evaluation index results of ablation experiment with correction rate limit correction

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      Table 3. Objective evaluation index results of ablation experiment with correction rate limit correction

      FigureMeanGradientEntropySNRC
      11(a)99.262.525.70.24
      11(b)187.6112.626.525.490.33
      11(c)122.3713.876.831.280.35
      11(d)131.2316.747.2429.370.43
    • Table 4. Processing time required by proposed method

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      Table 4. Processing time required by proposed method

      ProcessProcessing time/ms
      Polarization image processing52
      Preliminary estimate of transmittance11
      Transmittance limit crrection87
      Calculate the output image13
      All processes163
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    Jin DUAN, Kehan DONG, Jialin WANG, Xinyu NI, Ruisen FANG, Haili ZHAO. Underwater polarization image restoration based on transmittance-limiting correction[J]. Optics and Precision Engineering, 2025, 33(11): 1722

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    Paper Information

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    Received: Feb. 27, 2025

    Accepted: --

    Published Online: Aug. 14, 2025

    The Author Email: Jin DUAN (duanjin@vip.sina.com)

    DOI:10.37188/OPE.20253311.1722

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