Acta Optica Sinica, Volume. 40, Issue 19, 1910003(2020)

De-Hazing and Enhancement Methods for Underwater and Low-Light Images

Ke Liu* and Xujian Li*
Author Affiliations
  • College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, Shandong 266590, China
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    Figures & Tables(17)
    Comparison of results. (a) Original images; (b) images calculated based on MSRCR method; (c) images calculated based on our method
    De-hazing effect. (a) Original images; (b) noise-added images; (c) processed images
    Comparison of de-hazing results of underwater images under different methods. (a) Original images; (b) method in Ref. [9]; (c) method in Ref. [10]; (d) our method
    Comparison of de-hazing results of non-underwater images under different methods. (a) Original images; (b) method in Ref. [14]; (c) method in Ref. [15]; (d) our method
    Comparison of underwater images under different methods. (a) Original images; (b) method in Ref. [11]; (c) method in Ref. [12]; (d) our method
    Comparison of non-underwater images under different methods. (a) Original images; (b) method in Ref. [13]; (c) method in Ref. [16]; (d) our method
    Comparison of underwater images under different underwater image enhancement methods. (a) Original images; (b) method in Ref. [7]; (c) method in Ref. [8]; (d) method in Ref. [11]; (e) method in Ref. [12]; (f) our method
    Comparison of non-underwater images under different non-underwater low-light image enhancement methods. (a) Original images; (b) method in Ref. [16]; (c) method in Ref. [17]; (d) method in Ref. [19]; (e) method in Ref. [20]; (f) our method
    • Table 1. Signal to noise ratio for Fig. 3

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      Table 1. Signal to noise ratio for Fig. 3

      FigureMethod in Ref. [9]Method in Ref. [10]Our method
      Fig.3(a)36.4537.5339.68
      Fig.3(b)38.6339.2941.37
      Fig.3(c)36.6237.1540.14
    • Table 2. Signal to noise ratio for Fig. 4

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      Table 2. Signal to noise ratio for Fig. 4

      FigureMethod in Ref. [14]Method in Ref. [15]Our method
      Fig.4(a)37.2538.3241.24
      Fig.4(b)37.9339.1441.36
      Fig.4(c)37.8538.5340.17
    • Table 3. Comparison of entropy and gradient average value for underwater images

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      Table 3. Comparison of entropy and gradient average value for underwater images

      ImageMethodEntropyAVG
      Image 1In Ref. [11]7.42150.1178
      In Ref. [12]7.61260.1258
      Ours7.78290.1324
      Image 2In Ref. [11]7.38530.1097
      In Ref. [12]7.46350.1175
      Ours7.53970.1253
      Image 3In Ref. [11]7.37570.1138
      In Ref. [12]7.54610.1248
      Ours7.62830.1309
      Image 4In Ref. [11]7.41060.1135
      In Ref. [12]7.49130.1268
      Ours7.53720.1325
    • Table 4. Comparison of entropy and gradient average value for non-underwater underexposure images

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      Table 4. Comparison of entropy and gradient average value for non-underwater underexposure images

      ImageMethodEntropyAVG
      Image 1In Ref. [13]7.25730.1179
      In Ref. [14]7.38960.1342
      Ours7.51460.1435
      Image 2In Ref. [13]7.37140.1283
      In Ref. [14]7.52430.1311
      Ours7.71320.1452
      Image 3In Ref. [13]7.32980.1172
      In Ref. [14]7.47620.1283
      Ours7.56310.1375
      Image 4In Ref. [13]7.36820.1157
      In Ref. [14]7.52410.1312
      Ours7.68490.1421
    • Table 5. Quantitative evaluation of underwater image enhancement methods based on UIQM

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      Table 5. Quantitative evaluation of underwater image enhancement methods based on UIQM

      Image sourceImageMethod in Ref. [7]Method in Ref. [8]Method in Ref. [9]Method in Ref. [10]Method in Ref. [11]Method in Ref. [12]Our method
      9 under water images in the experimentP14.214.284.354.274.304.294.42
      P24.194.364.384.294.314.224.37
      P34.384.294.414.374.424.394.48
      P44.324.354.374.404.394.454.50
      P54.344.384.374.414.404.434.51
      P64.424.374.464.514.484.534.61
      P74.284.354.324.414.464.394.53
      P85.145.235.274.975.195.065.12
      P94.834.875.025.104.955.035.13
      Mean4.494.514.554.54.594.574.66
      Group in 300 under water imagesG14.434.524.614.544.634.604.75
      G24.514.644.734.674.834.714.79
      G34.574.754.794.624.765.025.14
      Mean4.534.644.714.614.744.784.89
    • Table 6. Quantitative evaluation based on LOE for 12 non-underwater underexposure images

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      Table 6. Quantitative evaluation based on LOE for 12 non-underwater underexposure images

      ImageMethod in Ref. [14]Method in Ref. [15]Method in Ref. [16]Method in Ref. [17]Method in Ref. [19]Method in Ref. [20]Our method
      S1120.2117.5108.9114.2106.7110.6103.8
      S2145.1132.8127.4132.9124.3131.5126.3
      S3137.6134.5131.6142.3130.7131.2122.3
      S4148.2142.5137.8139.4132.7140.3115.8
      S5157.4136.5137.2231.4146.8192.7134.2
      S6168.0157.6181.5235.4217.3225.1113.7
      S7159.3147.5138.4207.1172.6203.7125.2
      S8173.2158.7136.5183.4125.8141.287.9
      S9148.6124.3145.7189.5135.6162.5113.2
      S10112.5103.8137.6216.9152.1161.5117.4
      S11183.7156.4142.9163.5132.7155.3126.5
      S12107.498.5126.8143.7121.9135.1105.2
      Mean146.5133.5137.7155.6140.9156.9115.8
    • Table 7. Comparison of SSIM, PSNR and LOE of 400 images in non-underwater underexposure image dataset

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      Table 7. Comparison of SSIM, PSNR and LOE of 400 images in non-underwater underexposure image dataset

      ImageMethod in Ref. [14]Method in Ref. [15]Method in Ref. [16]Method in Ref. [17]Method in Ref. [19]Method in Ref. [20]Our method
      SSIM0.7350.7560.7470.6580.7590.6710.786
      PSNR14.915.316.714.816.915.217.1
      LOE187.3176.5168.4182.6173.2179.4158.3
    • Table 8. Comparison of running time for underwater images

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      Table 8. Comparison of running time for underwater images

      Size /(pixel×pixel)Method in Ref. [7]Method in Ref. [8]Method in Ref. [9]Method in Ref. [10]Method in Ref. [11]Method in Ref. [12]Our method
      250×2000.921.081.350.851.230.970.72
      500×4002.171.922.482.772.951.761.82
      1000×8003.783.575.256.375.944.393.25
    • Table 9. Comparison of running time for non-underwater underexposure images

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      Table 9. Comparison of running time for non-underwater underexposure images

      Size/(pixel×pixel)Method in Ref. [14]Method in Ref. [15]Method in Ref. [16]Method in Ref. [17]Method in Ref. [19]Method in Ref. [20]Our method
      250×2000.730.640.620.751.320.870.58
      500×4001.521.491.311.542.161.781.27
      1000×8002.832.951.872.163.022.281.97
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    Ke Liu, Xujian Li. De-Hazing and Enhancement Methods for Underwater and Low-Light Images[J]. Acta Optica Sinica, 2020, 40(19): 1910003

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    Paper Information

    Category: Image Processing

    Received: Apr. 27, 2020

    Accepted: Jun. 23, 2020

    Published Online: Oct. 20, 2020

    The Author Email: Liu Ke (xjlee@163.com), Li Xujian (xjlee@163.com)

    DOI:10.3788/AOS202040.1910003

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