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Laser & Optoelectronics Progress, Volume. 61, Issue 8, 0837010(2024)

Infrared and Visible Image Fusion Based on Gradient Domain-Guided Filtering and Significance Analysis

Tingbo Si1,2, Fangxiu Jia1,2、*, Lü Ziqiang1,2, and Zikang Wang1,2
Author Affiliations
  • 1School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu , China
  • 2Key Laboratory of Intelligent Munitions National Defense, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu , China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (8)
    Equations (29)
    References (24)
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    Figures & Tables(8)
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    Fig. 1. Filter results

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    Comparison of infrared saliency map results

    Fig. 2. Comparison of infrared saliency map results

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    Overall framework for infrared and visible image fusion

    Fig. 3. Overall framework for infrared and visible image fusion

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    Comparison of results of different fusion methods

    Fig. 4. Comparison of results of different fusion methods

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    Comparison of fusion results of different images and methods

    Fig. 5. Comparison of fusion results of different images and methods

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    Performance indicators of various methods in tree sequence

    Fig. 6. Performance indicators of various methods in tree sequence

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    • Table 1. Objective comparison of different fusion methods

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      Table 1. Objective comparison of different fusion methods

      ImageObjective indicatorGFFGTFLatLRRDubNSeAFMGFFProposed method
      meetingEN7.0176.7966.6336.3557.2016.8666.977
      MI1.8021.6891.0721.1211.7230.9581.877
      QMI0.2620.2290.3180.2560.2880.1660.309
      QCV1542446210421612621.11434537.4
      SSIM1.4091.4191.2141.4431.4091.4561.476
      SD41.4334.0039.4021.3846.1431.5047.62
      kapteinEN6.8996.9527.2716.5057.3066.8616.989
      MI1.9282.0801.3111.3911.9631.1662.122
      QMI0.3080.3810.3890.3580.3170.3160.344
      QCV13331961248.2755.8220.2828.5156.7
      SSIM1.3881.3741.1371.4081.3381.4311.465
      SD34.3738.1553.6030.9951.6336.6953.80
      manindoorwayEN7.3827.1306.5267.0197.3217.2107.150
      MI1.9461.3790.9732.0891.5830.8702.121
      QMI0.2800.2180.3530.3150.3430.1770.345
      QCV758.62297793.6516.1426.9915.3374.6
      SSIM1.3101.3231.1421.3661.3291.3621.374
      SD45.5838.5242.8043.3644.3337.3146.52
      roadEN6.5366.2276.1815.5936.6596.4496.374
      MI1.3221.8321.3911.3541.7791.3011.855
      QMI0.3890.3980.3780.4910.4510.4220.473
      QCV767.317581271705.31073798.3644.8
      SSIM1.2981.2211.0971.3191.3061.2991.353
      SD32.3529.7633.0920.0531.7331.8733.08

    • Table 2. Average running time of each method in tree sequence

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      Table 2. Average running time of each method in tree sequence

      Fusion methodGFFGTFLatLRRDubNSeAFMGFFProposed method
      Time0.1830.58453.1570.6411.5430.3850.337
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    Tingbo Si, Fangxiu Jia, Lü Ziqiang, Zikang Wang. Infrared and Visible Image Fusion Based on Gradient Domain-Guided Filtering and Significance Analysis[J]. Laser & Optoelectronics Progress, 2024, 61(8): 0837010

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    Paper Information

    Category: Digital Image Processing

    Received: Jun. 28, 2023

    Accepted: Aug. 8, 2023

    Published Online: Apr. 2, 2024

    The Author Email: Jia Fangxiu (jiafangxiu@126.com)

    DOI:10.3788/LOP231619

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology