Chinese Optics, Volume. 15, Issue 4, 675(2022)

Fusion of infrared and visible light images based on visual saliency weighting and maximum gradient singular value

Bo-yang CHENG*, Ting LI, and Yu-lin WANG
Author Affiliations
  • Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing 100094, China
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    Figures & Tables(19)
    Multi-scale images decomposed based on MS-RGF
    Pseudo-polar coordinate network with L= 8
    The filter bank of shearlet in frequency domain
    Effect diagrams of multi-directional shearlet transform
    Schematic diagram of decomposition and reconstruction of RGST
    Schematic diagram of the fusion algorithm in this paper
    Infrared and visible light images used in the fusion experiment
    Comparison of AVG values under different decomposition levels
    Comparison of IE values under different decomposition levels
    The first group of image fusion experiment
    The second group of image fusion experiment
    The third group of image fusion experiment
    The fourth group of image fusion experiment
    The fifth group of image fusion experiment
    • Table 1. Objective evaluation indicators for the first group of image fusion experiments

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      Table 1. Objective evaluation indicators for the first group of image fusion experiments

      第1组 融合实验 评价指标
      AVGIEQESFSDSCDt
      CVT10.597.100.5818.8835.671.543.93
      NSCT6.427.510.4511.4147.221.59109.8
      ADF10.226.910.5317.6430.761.512.07
      WLS11.147.140.39820.3841.191.744.18
      MSVD9.366.840.3716.6329.261.520.76
      TSF9.617.270.5617.7640.581.680.13
      本文方法11.447.420.6220.6547.661.788.82
    • Table 2. Objective evaluation indicators for the second group of image fusion experiments

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      Table 2. Objective evaluation indicators for the second group of image fusion experiments

      第2组 融合实验 评价指标
      AVGIEQESFSDSCDt
      CVT8.767.050.5821.6733.651.511.81
      NSCT5.737.170.4212.1537.881.2065.1
      ADF7.556.830.5017.1828.281.501.25
      WLS8.887.060.4620.8833.541.652.36
      MSVD7.846.830.4619.7528.421.540.35
      TSF7.687.110.5519.4035.161.580.13
      本文方法9.447.260.6222.9540.111.654.64
    • Table 3. Objective evaluation indicators for the third group of image fusion experiments

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      Table 3. Objective evaluation indicators for the third group of image fusion experiments

      第3组 融合实验 评价指标
      AVGIEQESFSDSCDt
      CVT4.986.910.5914.8034.321.602.22
      NSCT4.137.370.549.7850.491.6291.1
      ADF3.036.620.418.8828.991.521.42
      WLS5.117.100.5515.4747.801.813.16
      MSVD3.956.650.4611.9929.521.530.45
      TSF4.9187.080.6314.9339.021.700.14
      本文方法5.757.150.6516.3948.651.827.51
    • Table 4. Objective evaluation indicators for the fourth group of image fusion experiments

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      Table 4. Objective evaluation indicators for the fourth group of image fusion experiments

      第4组 融合实验 评价指标
      AVGIEQESFSDSCDt
      CVT9.186.910.3917.2733.981.481.34
      NSCT6.067.180.3111.1538.071.2129.46
      ADF5.376.620.3410.1027.901.460.90
      WLS9.826.960.3917.9934.191.581.29
      MSVD7.946.660.3214.5728.341.450.18
      TSF8.137.040.4316.8237.051.630.11
      本文方法9.847.150.4318.4239.041.682.44
    • Table 5. Objective evaluation indicators for the fifth group of image fusion experiments

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      Table 5. Objective evaluation indicators for the fifth group of image fusion experiments

      第5组 融合实验 评价指标
      AVGIEQESFSDSCDt
      CVT12.257.540.5024.8346.911.752.25
      NSCT9.757.810.4318.7955.871.6453.80
      ADF9.196.970.4217.9632.861.741.33
      WLS12.537.350.3824.6243.741.872.64
      MSVD10.666.990.4322.5933.351.780.32
      TSF12,007.680.5325.7452.171.840.15
      本文方法14.317.760.5728.7657.921.893.42
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    Bo-yang CHENG, Ting LI, Yu-lin WANG. Fusion of infrared and visible light images based on visual saliency weighting and maximum gradient singular value[J]. Chinese Optics, 2022, 15(4): 675

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    Paper Information

    Category: Original Article

    Received: Jun. 13, 2022

    Accepted: --

    Published Online: Sep. 6, 2022

    The Author Email:

    DOI:10.37188/CO.2022-0124

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