Chinese Journal of Liquid Crystals and Displays, Volume. 38, Issue 10, 1389(2023)

Infrared and visible image fusion algorithm based on structure-texture decomposition

Qing-song LI, Shen YANG*, Jin WU, and Ze-feng HUANG
Author Affiliations
  • School of Information Science and Engineering,Wuhan University of Science and Technology,Wuhan 430081,China
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    Figures & Tables(8)
    Structure-texture filtering
    Framework of the image fusion algorithm
    Comparison experiment of brightness layer extraction algorithm
    Fusion results of “Kaptein”image using various algorithms
    Fusion results of “Camp” image using various algorithms
    • Table 1. Objective evaluating indicators of “Kaptein” image fusion under various algorithms

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      Table 1. Objective evaluating indicators of “Kaptein” image fusion under various algorithms

      AlgorithmSFAGEIVarianceVIFQcvIE
      GFF7.8733.21531.70432.8980.280907.2806.857
      FPDE6.8283.04829.39031.6910.261788.3826.604
      GTF6.4732.29122.24738.1730.1841 962.0996.958
      TIF8.7313.42334.28636.6090.411370.5866.842
      MSID8.8073.52835.38353.7380.459200.4367.083
      MLGCF9.5753.70134.76249.7560.349220.6936.971
      BAYES5.4122.07620.34038.3900.216898.8916.644
      DIDF6.4612.52224.99439.2490.322339.7906.697
      MFEIF6.2202.57825.87743.5880.337297.8576.920
      Ours10.8964.10240.25759.5850.421127.9077.007
    • Table 2. Objective evaluating indicators of “Camp” image fusion under various algorithm

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      Table 2. Objective evaluating indicators of “Camp” image fusion under various algorithm

      AlgorithmSFAGEIVarianceVIFQcvIE
      GFF10.6673.99838.73426.8940.158463.3216.637
      FPDE15.7506.21556.22824.7810.211550.7576.512
      GTF8.8233.51536.16927.1520.205558.6636.689
      TIF11.6424.57046.82129.5550.450446.6596.656
      MSID11.1294.31744.12136.8090.472386.9916.973
      MLGCF12.6294.62143.52529.4220.433462.9496.629
      BAYES7.7903.12032.11326.8110.259438.7786.434
      DIDF8.2623.27533.23428.3780.405468.8596.557
      MFEIF7.6663.21032.77728.7440.368411.4506.604
      Ours15.0186.61668.99440.1080.680530.1607.119
    • Table 3. Average indicators for twelve pairs of images

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      Table 3. Average indicators for twelve pairs of images

      AlgorithmSFAGEIVarianceVIFQcvIE
      GFF12.1864.38742.53139.2400.248712.4137.001
      FPDE10.4234.14739.34026.1400.272623.7076.473
      GTF10.8423.85737.11237.6210.2441 304.1176.871
      TIF11.8504.34243.84331.4680.442457.5896.682
      MSID12.5244.57545.60045.3120.502353.3527.093
      MLGCF13.3014.74045.08637.8000.434467.9236.885
      BAYES8.8473.26131.71230.7760.252659.8446.598
      DIDF8.4673.21731.84130.7780.321453.5116.582
      MFEIF8.4023.26933.12034.3480.359354.9826.678
      Ours16.9456.47163.01049.1620.620351.3106.877
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    Qing-song LI, Shen YANG, Jin WU, Ze-feng HUANG. Infrared and visible image fusion algorithm based on structure-texture decomposition[J]. Chinese Journal of Liquid Crystals and Displays, 2023, 38(10): 1389

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    Paper Information

    Category: Research Articles

    Received: Dec. 1, 2022

    Accepted: --

    Published Online: Oct. 25, 2023

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

    DOI:10.37188/CJLCD.2022-0398

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