Laser & Optoelectronics Progress, Volume. 61, Issue 24, 2437007(2024)

Infrared and Visible Image Fusion Using Anisotropic Guided Filtering

Zhaoyang Tong, Shen Yang*, Shibin Du, and Zefeng Huang
Author Affiliations
  • School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, Hubei , China
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    Figures & Tables(8)
    Framework of proposed algorithm
    Block diagram of proposed multiscale decomposition
    Comparasion of experimenal results before and after introducing image enhancement module. (a) Without enhancement module; (b) with enhancement module
    Fusion results obtained by different fusion algorithms for"Kaptein"images
    Fusion results obtained by different fusion algorithms for"Road"image
    • Table 1. Objective indicators of"Kaptein"image by various fusion algorithms

      View table

      Table 1. Objective indicators of"Kaptein"image by various fusion algorithms

      AlgorithmSFAGEIVarIEQcb
      HMSD10.1134.02138.82052.4337.0860.468
      FDE_PCA7.1473.25831.34031.7466.6240.471
      MGFF10.1014.23441.47936.7256.8660.504
      MLGCF9.5303.77035.54849.6956.9810.498
      MST9.8714.06439.53553.5677.0260.492
      RFN-Nest4.6193.32519.66144.1196.9990.498
      MIFF9.5574.11940.35751.4607.2410.434
      DTF-SR8.1793.28332.98544.1217.2420.544
      CDDF9.9263.86337.86961.0857.2410.483
      Proposed12.5584.74346.57855.7207.2530.496
    • Table 2. Objective indicators of"Road"image by various fusion algorithms

      View table

      Table 2. Objective indicators of"Road"image by various fusion algorithms

      AlgorithmSFAGEIVarIEQcb
      HMSD13.1253.49736.57133.4746.4000.486
      FDE_PCA12.4844.10541.10722.1726.0670.435
      MGFF11.7033.52937.41631.8946.5400.471
      MLGCF12.7553.28033.77933.4586.1200.456
      MST12.9703.58637.82133.4016.4840.473
      RFN-Nest4.7341.51016.54320.0365.8420.454
      MIFF12.0323.63338.52936.0216.7740.518
      DTF-SR11.5663.27134.83235.2936.7550.563
      CDDF11.4812.86430.42233.0496.4830.512
      Proposed15.4564.08242.69237.3246.2940.549
    • Table 3. Quantitative evaluation results of ten sets of images

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      Table 3. Quantitative evaluation results of ten sets of images

      AlgorithmSFAGEIVarIEQcb
      HMSD10.7564.04739.35137.4686.8560.492
      FDE_PCA8.1533.29031.69422.3456.2130.457
      MGFF10.4024.15641.00528.1266.5540.500
      MLGCF10.2043.73035.34132.7276.5830.459
      MST10.5794.04439.53040.7446.7840.490
      RFN-Nest5.1112.31024.84733.5216.7830.464
      MMIF10.0753.98639.26736.8626.7660.463
      DTF-SR9.0613.47634.81842.8467.1970.556
      CDDF10.7783.98138.79042.8556.8980.475
      Proposed16.6416.11860.10440.8106.9140.510
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    Zhaoyang Tong, Shen Yang, Shibin Du, Zefeng Huang. Infrared and Visible Image Fusion Using Anisotropic Guided Filtering[J]. Laser & Optoelectronics Progress, 2024, 61(24): 2437007

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    Paper Information

    Category: Digital Image Processing

    Received: Mar. 29, 2024

    Accepted: May. 20, 2024

    Published Online: Dec. 13, 2024

    The Author Email: Shen Yang (yangshen@wust.edu.cn)

    DOI:10.3788/LOP240991

    CSTR:32186.14.LOP240991

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