Acta Photonica Sinica, Volume. 51, Issue 9, 0910002(2022)

Infrared and Visible Image Fusion Algorithm Based on Dynamic Range Compression Enhancement and NSST

Manli WANG... Xiaolong WANG* and Changsen ZHANG |Show fewer author(s)
Author Affiliations
  • School of Physics & Information Engineering,Henan Polytechnic University,Jiaozuo ,Henan 454000,China
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    Figures & Tables(17)
    Infrared and visible image fusion framework
    Comparison of visible images before and after enhancement
    Coefficients extracted by NSST decomposition
    Fusion results of infrared and visible algorithms
    Fusion results of T1~T4 images
    Comparison of objective data of images before and after fusion
    The influence of the selection of threshold shrinkage coefficient on image objective data
    Fusion results of different threshold coefficients
    Fusion results of “Road” images
    Fusion results of “Tent” images
    Fusion results of mine images
    Fusion results of “Road” images with noise variance of 5
    Fusion results of “Road” images with noise variance of 10
    • Table 1. Objective evaluation results of the first two groups of fusion images

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      Table 1. Objective evaluation results of the first two groups of fusion images

      ImageMethodsSFIEEIAGCC
      RoadDCTWT10.0035.93322.8872.2390.677
      WLS⁃VSM13.3396.13835.3073.3970.649
      TE⁃MST11.8356.61935.1463.3600.558
      AUIF10.6764.89919.2861.8280.633
      DIDF10.8294.66320.1371.8890.629
      NSST⁃MGPCNN12.6526.27635.9683.3980.650
      NSST⁃PAPCNN11.7926.65635.1103.2760.623
      Proposed17.1736.69352.5585.0610.636
    • Table 2. Objective evaluation results of the second two groups of fusion images

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      Table 2. Objective evaluation results of the second two groups of fusion images

      ImageMethodsSFIEEIAGCC
      TentDCTWT8.5336.33328.2352.9710.521
      WLS⁃VSM11.3126.60741.2724.2450.515
      TE⁃MST12.6496.74148.2134.9050.375
      AUIF11.5936.92342.9044.2490.513
      DIDF11.5916.90443.4174.1990.509
      NSST⁃MGPCNN8.5586.83933.4523.1610.506
      NSST⁃PAPCNN7.3686.91731.0112.9230.465
      Proposed14.5497.31658.2445.8800.474
    • Table 3. The running time of eight fusion algorithms

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      Table 3. The running time of eight fusion algorithms

      MethodsDCTWTWLS⁃VSMTE⁃MSTAUIFDIDFNSST⁃MGPCNNNSST⁃PAPCNNProposed
      Time/s0.2251.1911.4091.0241.05374.15126.0847.711
    • Table 4. NV statistics of fusion images based on eight algorithms

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      Table 4. NV statistics of fusion images based on eight algorithms

      Noise varianceDCTWTWLS⁃VSMTE⁃MSTAUIFDIDFNSST⁃MGPCNNNSST⁃PAPCNNProposed
      54.8106.8856.7152.0261.4055.2125.1840.694
      109.49510.41313.1074.0452.69813.39310.6961.090
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    Manli WANG, Xiaolong WANG, Changsen ZHANG. Infrared and Visible Image Fusion Algorithm Based on Dynamic Range Compression Enhancement and NSST[J]. Acta Photonica Sinica, 2022, 51(9): 0910002

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    Paper Information

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    Received: Apr. 6, 2022

    Accepted: May. 27, 2022

    Published Online: Oct. 26, 2022

    The Author Email: WANG Xiaolong (mayfly_wxl@163.com)

    DOI:10.3788/gzxb20225109.0910002

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