Infrared and Laser Engineering, Volume. 51, Issue 8, 20210681(2022)

Multi-layer image decomposition-based image fusion algorithm

Wei Tan*, Chuang Song, Jiajia Zhao, and Xinkai Liang
Author Affiliations
  • Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory, Beijing 100074, China
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    Figures & Tables(10)
    Flowchart of the proposed algorithm
    Flowchart of the multi-level image decomposition model
    Comparison results of each method of the first set of experiments
    Comparison results of each method of the second set of experiments
    Comparison results of each method of the third set of experiments
    • Table 1. Four types large-scale layers and their spatial frequency and local variance

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      Table 1. Four types large-scale layers and their spatial frequency and local variance

      MeasuresSFLV
      $ FS_{IR}^{\left( i \right)} $$ SF_{FIR}^{\left( i \right)} $$ LV_{FIR}^{\left( i \right)} $
      $ FS_{Vis}^{\left( i \right)} $$ SF_{FVis}^{\left( i \right)} $$ LV_{FVis}^{\left( i \right)} $
      $ CS_{IR}^{\left( i \right)} $$ SF_{CIR}^{\left( i \right)} $$ LV_{CIR}^{\left( i \right)} $
      $ CS_{Vis}^{\left( i \right)} $$ SF_{CVis}^{\left( i \right)} $$ LV_{CVis}^{\left( i \right)} $
    • Table 2. Quantitative comparison results of the first group of experiment

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      Table 2. Quantitative comparison results of the first group of experiment

      NSCTGIFGTFHMSDIHMSDProposed
      EN6.24096.37786.67796.60016.715 86.6007
      SSIM0.99890.99920.99910.99910.99910.9992
      MI1.60531.52752.05081.75951.78461.7883
      QT0.36230.43710.43580.44670.45200.4538
      VIF0.31990.28340.21850.44030.43190.4404
    • Table 3. Quantitative comparison results of the second group of experiment

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      Table 3. Quantitative comparison results of the second group of experiment

      NSCTGIFGTFHMSDIHMSDProposed
      EN6.53066.85756.95826.95666.95946.9643
      SSIM0.99900.99900.99910.99910.99920.9992
      MI2.14272.45502.50112.27702.28132.2845
      QT0.33230.45140.31450.44370.44720.4301
      VIF0.29660.28010.18430.34650.43500.3487
    • Table 4. Quantitative comparison results of the third group of experiment

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      Table 4. Quantitative comparison results of the third group of experiment

      NSCTGIFGTFHMSDIHMSDProposed
      EN6.48507.01757.07667.12757.13337.2041
      SSIM0.99850.99880.99880.99850.99880.9989
      MI1.81872.83732.06512.84862.89732.2845
      QT0.33570.45210.33600.41030.42060.4301
      VIF0.27040.10870.32760.38490.39430.3487
    • Table 5. Time consumption of different fusion algorithm (Unit: s)

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      Table 5. Time consumption of different fusion algorithm (Unit: s)

      NSCTGIFGTFHMSDIHMSDProposed
      First set5.3650.3682.13020.32216.5448.524
      Second set14.2261.3036.85248.09437.21219.685
      Third set14.0621.2059.82149.02043.39521.397
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    Wei Tan, Chuang Song, Jiajia Zhao, Xinkai Liang. Multi-layer image decomposition-based image fusion algorithm[J]. Infrared and Laser Engineering, 2022, 51(8): 20210681

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    Paper Information

    Category: Image processing

    Received: Jan. 20, 2022

    Accepted: --

    Published Online: Jan. 9, 2023

    The Author Email: Tan Wei (twtanwei1992@163.com)

    DOI:10.3788/IRLA20210681

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