Chinese Journal of Liquid Crystals and Displays, Volume. 40, Issue 5, 761(2025)

Image dehazing algorithm combining fog concentration segmentation and atmospheric light curtain mapping

Lanlan WANG* and Yan YANG
Author Affiliations
  • School of Electronics and Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China
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    Figures & Tables(17)
    Flow chart of algorithm in this paper
    Variation of saturation and chromacity with fog concentration
    Relationship between σ2and fog concentrations
    Different σ2 corresponding restoration effect map
    Fog concentration distribution maps and restoration effect maps
    Fog concentration segmentation maps
    Exponential variation curves of power function
    Variation curves of γ and atmospheric light curtain
    Comparison of restoration results
    Comparison of atmospheric light
    Comparison of restoration results of natural fog images with drastic changes in depth of field
    Comparison of haze images recovery results in the sky area
    Comparison of restoration results of composite images
    • Table 1. Objective evaluation on index e and r of eight algorithms

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      Table 1. Objective evaluation on index e and r of eight algorithms

      算法评价指标图像平均
      12345678910
      Hee0.1300.0730.1340.2280.0310.1150.0570.0660.2070.1050.115
      r1.9271.7301.7902.1741.4921.8101.4681.5502.0121.8551.781
      Zhue0.0270.0180.0230.0200.0110.0220.0200.0100.0110.0250.019
      r1.3491.2501.2881.2831.2521.3191.2891.2491.2911.2951.287
      Tarele0.2870.0530.1200.2400.0250.0970.0880.04680.1140.0890.116
      r2.1881.5131.6102.1521.4611.7741.5431.3631.5571.5191.668
      Qine0.061-0.090.0390.030-0.047-0.0100.0300.0160.0900.0340.015
      r1.4611.1341.1431.1881.0921.0611.2251.2281.2981.3671.220
      Baie0.0120.0250.0380.0450.0040.0090.0190.0050.0480.1030.031
      r1.0891.1361.1541.1451.0171.0211.0891.0231.3541.3161.134
      Zhange0.0120.0590.0070.181-0.017-0.021-0.2880.0400.138-0.123-0.001
      r1.5631.7701.5062.0181.3821.4881.2801.4841.6811.5781.575
      Yange0.0080.0170.0180.0140.0640.0930.0960.1780.1020.0110.060
      r1.2571.2221.2311.2481.2301.2041.2331.2501.2241.2101.231
      Ourse0.2930.0610.1450.2770.0410.0810.0620.0850.2690.1040.142
      r2.2671.7811.8012.3901.5031.5451.4541.5462.0351.8061.813
    • Table 2. Objective evaluation on index s and t of eight algorithms

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      Table 2. Objective evaluation on index s and t of eight algorithms

      算法评价指标图像平均
      12345678910
      Hes13.28515.15212.93212.62714.46814.94913.69614.96815.08215.08814.224
      t1.5240.6010.9510.8721.6340.3240.7890.5480.5240.9210.961
      Zhus12.98915.46113.48311.72415.21315.15514.59414.99814.33215.55014.349
      t1.1530.6300.9121.8791.9851.0741.4320.8500.9971.2861.219
      Tarels15.48016.03913.85214.05715.92216.43115.25515.62615.45915.83715.395
      t0.9150.9300.7321.7411.2141.0101.2310.9720.1211.3541.022
      Qins15.55016.70014.28513.93517.09015.96016.71816.50715.87116.63315.924
      t1. 2530. 3520. 7690.8321. 5420. 7270. 6800. 3520. 3260.5360.740
      Bais14.21613.52913.21313.16614.29513.24615.41114.73215.59814.71714.212
      t0. 9500. 1710. 5890. 4921. 6860. 9860. 4730. 8810. 6910. 2860.721
      Zhangs12.68014.96112.20812.55014.21813.35111.69114.57015.05213.14313.442
      t1.0150.8300.8121.9672.6341.0841.4320.8500.9971.2861.290
      Yangs12.64415.35713.23111.36015.10214.55413.97314.98213.73615.14014.007
      t1.2350.7890.8242.0212.6541.1841.4650.8921.2301.3451.363
      Ourss15.48615.96115.93215.19216.47116.49315.34815.96316.98915.95615.978
      t0.9250. 3520. 8690.8271.4910. 7220. 6950. 3150. 2180.3410.676
    • Table 3. Objective evaluation on index IVMVC and IC of eight algorithms

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      Table 3. Objective evaluation on index IVMVC and IC of eight algorithms

      算法评价指标图像平均
      12345678910
      HeIVM9.1049.3019.7868.0577.7207.9186.8097.2618.3358.9148.321
      VC24.08983.75051.87556.2581.92363.46157.08556.15364.17075.33361.408
      IC0.5750.7150.5990.5170.2060.4150.7280.3400.5150.3850.499
      ZhuIVM2.4728.5036.7433.5818.0735.1166.2387.0283.8676.5095.813
      VC41.90266.75042.50023.12567.11546.15347.36839.23018.42152.33344.489
      IC0.0750.1000.1140.0380.0960.1730.1260.0650.0420.1240.095
      TarelIVM7.8059.8339.0548.0659.7416.8516.7208.4515.1898.3418.005
      VC36.84286.50067.08356.25077.11560.96160.12145.96137.65173.00060.148
      IC0.330.2160.2450.2960.0790.2370.1190.4140.1160.2990.235
      QinIVM9.6818.07210.1564.2177.8344.5676.1118.1136.24510.1797.517
      VC19.43359.25050.00025.00063.07633.26948.78540.76936.63965.50044.172
      IC0.9510.0390.9380.0800.0150.0280.2660.5250.2240.7580.382
      BaiIVM6.0125.9237.3125.0858.0744.7686.1287.5118.4236.6016.583
      VC31.25836.11243.15229.68765.38435.96146.55838.07663.83339.67642.969
      IC0.1090.5350.3140.11950.0440.0450.1120.0330.4050.2560.197
      ZhangIVM2.35910.4009.84110.43111.0336.4507.5049.1347.5458.4088.310
      VC54.85889.00034.79152.34371.15333.46133.80550.96155.87058.33353.457
      IC0.6110.7760.7860.9960.0790.2800.7010.8540.7110.0550.585
      YangIVM2.1878.2886.3843.0187.8324.7016.9947.0863.6076.3555.645
      VC36.63964.25037.70860.00066.15335.38442.51040.38416.80148.66644.849
      IC0.0020.0250.0190.0090.0310.0210.0320.030.0120.0250.021
      OursIVM7.63710.5019.9869.33010.6205.8497.8678.1787.5758.8318.637
      VC47.16689.10081.8765.15681.92356.92355.87062.69273.07677.50069.127
      IC0.8380.8760.6990.7810.7060.3470.8140.3160.6560.7330.677
    • Table 4. Comparison of SSIM and PSNR metrics for synthetic haze images

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      Table 4. Comparison of SSIM and PSNR metrics for synthetic haze images

      评价指标HeZhuTarelQinBaiZhangYangOurs
      SSIM0.8670.9220.8840.9420.8930.7790.9160.906
      PSNR/dB14.49217.57115.83519.49619.10715.79217.83419.384
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    Lanlan WANG, Yan YANG. Image dehazing algorithm combining fog concentration segmentation and atmospheric light curtain mapping[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(5): 761

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    Paper Information

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    Received: Sep. 4, 2024

    Accepted: --

    Published Online: Jun. 18, 2025

    The Author Email: Lanlan WANG (2892470358@qq.com)

    DOI:10.37188/CJLCD.2024-0270

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