Chinese Journal of Liquid Crystals and Displays, Volume. 38, Issue 2, 225(2023)

Dehazing algorithm of monochromatic remote sensing image based on matrix restoration and dark channel theory

Ji-wei LIU, Xiao-dong WANG*, and Yun-hui LI
Author Affiliations
  • Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China
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    Figures & Tables(8)
    Flow chart of the algorithm in this paper
    Image dehazing result map
    Details of the farmland scene
    Restoration and dehazing results of 30% information loss haze image
    Restoration and dehazing results of images with different proportions of information lost
    • Table 1. Calculation results of objective evaluation index for image dehazing

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      Table 1. Calculation results of objective evaluation index for image dehazing

      农田城市建筑海洋河流山脊平均值
      雾图对比度18.612 116.873 321.912 637.751 733.995 226.447 925.932 1
      峰值信噪比14.251 211.530 011.300 714.172 518.963 99.578 213.299 4
      结构相似性0.869 30.864 00.705 60.819 50.886 50.585 70.788 5
      算法1对比度55.084 037.508 346.515 060.776 663.458 553.047 152.731 6
      峰值信噪比9.105 39.666 19.429 510.342 219.256 47.069 510.811 5
      结构相似性0.668 20.846 60.777 70.768 70.894 20.587 50.757 2
      算法2对比度29.790 015.329 220.744 453.051 839.560 435.197 632.278 9
      峰值信噪比16.261 914.316 813.185 017.003 020.550 911.288 015.434 3
      结构相似性0.794 00.865 20.684 70.876 40.894 40.670 20.797 5
      算法3对比度65.356 556.228 561.903 973.298 576.734 270.474 467.332 7
      峰值信噪比10.656 913.255 515.756 814.503 717.104 310.509 213.631 1
      结构相似性0.643 90.878 80.903 30.839 30.826 90.711 00.800 5
      算法4对比度39.274 625.216 658.794 963.444 755.650 850.968 848.891 7
      峰值信噪比19.465 324.347 919.392 819.095 011.940 314.914 418.192 6
      结构相似性0.798 80.927 30.860 00.892 10.802 50.796 30.846 2
      算法5对比度38.191 437.332 251.275 658.131 365.198 248.849 849.829 8
      峰值信噪比17.533 914.923 215.058 217.523 222.329 511.753 816.520 3
      结构相似性0.873 00.933 10.897 70.904 70.910 20.757 70.879 4
      算法6对比度18.612 128.193 635.674 744.559 356.811 137.914 236.960 8
      峰值信噪比14.251 212.642 214.757 716.779 324.451 510.102 415.497 4
      结构相似性0.869 30.907 30.860 40.889 10.976 10.684 70.864 5
      本文算法对比度29.479 531.752 541.431 748.692 358.025 234.704 740.681 0
      峰值信噪比22.981 020.477 319.814 026.819 321.589 017.789 121.578 3
      结构相似性0.950 50.972 80.941 50.971 20.946 90.842 90.937 6
    • Table 2. Calculation results of objective evaluation indexes for image restoration and dehazing

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      Table 2. Calculation results of objective evaluation indexes for image restoration and dehazing

      农田城市建筑海洋河流山脊平均值
      信息丢失雾图信息熵5.246 95.109 15.369 05.940 85.392 15.595 85.442 3
      峰值信噪比12.048 18.946 49.022 110.819 27.742 29.417 79.666 0
      结构相似性0.054 10.013 70.058 40.115 80.038 20.045 60.054 3
      算法1信息熵5.157 54.863 55.086 35.703 15.036 55.401 55.208 1
      峰值信噪比7.546 47.213 26.852 68.075 67.175 16.362 97.204 3
      结构相似性0.039 00.010 90.045 60.083 90.027 10.030 20.039 5
      算法2信息熵5.397 05.448 95.812 96.041 35.808 45.796 25.717 5
      峰值信噪比12.467 49.300 79.394 111.249 37.784 89.912 010.018 0
      结构相似性0.062 00.015 60.072 70.136 90.045 90.055 40.064 7
      算法3信息熵5.165 95.036 15.274 05.770 55.301 65.460 55.334 8
      峰值信噪比10.088 49.184 910.088 111.443 87.137 910.430 49.728 9
      结构相似性0.129 10.042 20.174 60.247 30.111 20.193 70.149 7
      算法4信息熵6.604 36.736 36.969 67.259 37.288 37.096 96.992 5
      峰值信噪比12.422 413.682 710.979 211.787 810.473 510.123 311.578 2
      结构相似性0.063 30.032 50.073 20.131 60.066 20.058 90.070 9
      算法5信息熵5.398 35.223 35.531 05.985 25.462 75.731 85.555 4
      峰值信噪比10.887 18.076 27.920 910.659 07.511 88.396 78.908 6
      结构相似性0.050 90.012 60.058 00.117 60.037 10.043 20.053 2
      算法6信息熵5.34335.194 05.302 55.939 45.598 15.595 85.495 5
      峰值信噪比10.658 88.925 69.127 410.822 37.783 28.760 69.346 3
      结构相似性0.046 00.014 10.060 20.114 20.041 30.041 90.052 9
      本文算法信息熵6.778 56.921 07.116 87.483 87.207 77.137 27.107 5
      峰值信噪比22.534 919.782 119.739 226.358 723.207 216.591 421.368 9
      结构相似性0.855 70.930 60.844 90.951 30.894 10.737 20.868 9
    • Table 3. Calculation results of objective evaluation indexes for restoration and dehazing of fog images with different proportions of information loss

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      Table 3. Calculation results of objective evaluation indexes for restoration and dehazing of fog images with different proportions of information loss

      图像信息比例信息熵峰值信噪比结构相似性
      50%图像信息4.177 38.879 00.019 8
      7.104 811.516 90.529 5
      60%图像信息4.783 28.602 10.021 1
      7.105 911.880 50.591 3
      70%图像信息5.329 58.334 30.02 7
      7.113 111.888 80.596 1
      80%图像信息5.807 18.079 30.035 4
      7.134 511.678 60.596 4
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    Ji-wei LIU, Xiao-dong WANG, Yun-hui LI. Dehazing algorithm of monochromatic remote sensing image based on matrix restoration and dark channel theory[J]. Chinese Journal of Liquid Crystals and Displays, 2023, 38(2): 225

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    Paper Information

    Category: Research Articles

    Received: Jun. 8, 2022

    Accepted: --

    Published Online: Feb. 20, 2023

    The Author Email: Xiao-dong WANG (wangxd@ciomp.ac.cn)

    DOI:10.37188/CJLCD.2022-0192

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