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Laser & Optoelectronics Progress, Volume. 60, Issue 10, 1010008(2023)

Infrared and Visible Image Fusion with Guided Filtering and Dual-Tree Complex Wavelet Transform

Mai Jiang1、*, Guijun Sha1, and Ning Li2
Author Affiliations
  • 1College of Criminal Investigation and Counter-Terrorism, Criminal Investigation Police University of China, Shenyang 110854, Liaoning, China
  • 2Marine Information Technology Equipment Centre, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110169, Liaoning, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (10)
    Equations (25)
    References (28)
    Cited By (1)
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    Figures & Tables(10)
    Two levels of DTCWT decomposition

    Fig. 1. Two levels of DTCWT decomposition

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    Image basis function shock response under four-level decomposition. (a) Real part; (b) imaginary part

    Fig. 2. Image basis function shock response under four-level decomposition. (a) Real part; (b) imaginary part

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    Fusion results of Q-shift filter with different taps. (a) Infrared image; (b) visible image; (c) tap is 10;（d）tap is 18；（e）tap is 32

    Fig. 3. Fusion results of Q-shift filter with different taps. (a) Infrared image; (b) visible image; (c) tap is 10;（d）tap is 18；（e）tap is 32

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    Flow chart of proposed image fusion algorithm

    Fig. 4. Flow chart of proposed image fusion algorithm

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    Scene 1:image fusion comparison results. (a) Infrared image; (b) visible image; (c) DTCWT; (d) IFEVIP; (e) MRSVD;(f) MWGF; (g) TSF; (h) WLS; (i) proposed method

    Fig. 5. Scene 1:image fusion comparison results. (a) Infrared image; (b) visible image; (c) DTCWT; (d) IFEVIP; (e) MRSVD;(f) MWGF; (g) TSF; (h) WLS; (i) proposed method

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    Scene 2:image fusion comparison results. (a) Infrared image; (b) visible image; (c) DTCWT; (d) IFEVIP; (e) MRSVD; (f) MWGF; (g) TSF; (h) WLS; (i) proposed method

    Fig. 6. Scene 2:image fusion comparison results. (a) Infrared image; (b) visible image; (c) DTCWT; (d) IFEVIP; (e) MRSVD; (f) MWGF; (g) TSF; (h) WLS; (i) proposed method

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    Scene 3:image fusion comparison results. (a) Infrared image; (b) visible image; (c) DTCWT; (d) IFEVIP; (e) MRSVD; (f) MWGF; (g) TSF; (h) WLS; (i) proposed method

    Fig. 7. Scene 3:image fusion comparison results. (a) Infrared image; (b) visible image; (c) DTCWT; (d) IFEVIP; (e) MRSVD; (f) MWGF; (g) TSF; (h) WLS; (i) proposed method

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    Scene 4:image fusion comparison results. (a) Infrared image; (b) visible image; (c) DTCWT; (d) IFEVIP; (e) MRSVD; (f) MWGF; (g) TSF; (h) WLS; (i) proposed method

    Fig. 8. Scene 4:image fusion comparison results. (a) Infrared image; (b) visible image; (c) DTCWT; (d) IFEVIP; (e) MRSVD; (f) MWGF; (g) TSF; (h) WLS; (i) proposed method

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    Objective evaluation indicators value under various scenes. (a) Scene 1; (b) scene 2; (c) scene 3; (d) scene 4

    Fig. 9. Objective evaluation indicators value under various scenes. (a) Scene 1; (b) scene 2; (c) scene 3; (d) scene 4

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    • Table 1. Objective evaluation indicators value of different algorithms under various scenes

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      Table 1. Objective evaluation indicators value of different algorithms under various scenes

      SceneObjective evaluation parameterDTCWTIFEVIPMRSVDMWGFTSFWLSProposed algorithm
      Scene 1EN5.99506.7012（5.9474）6.83576.88206.13876.8951
      MI11.990013.4024（11.8947）13.671313.764012.277313.7901
      PSNR0.13054.90704.74975.3138（0.1867）1.72406.4450
      Qab/f0.50720.56980.42130.3570（0.3440）0.39430.5852
      t /s1.03890.17011.0594（7.2409）1.20714.56710.5790
      Scene 2EN6.65306.9714（6.5531）7.18087.06766.95467.4373
      MI13.306013.9429（13.1061）14.361614.135213.909214.8746
      PSNR8.08624.12668.13225.3038（3.4511）7.35539.3592
      Qab/f0.31440.45380.3031（0.2493）0.28170.46420.4700
      t /s1.33910.14121.0768（9.2151）2.01327.10570.7081
      Scene 3EN6.41306.8194（6.3335）7.23687.34516.74237.5834
      MI12.826013.6388（12.6670）14.473714.690113.484715.1668
      PSNR8.13645.38018.1075（3.5751）6.58218.198811.6503
      Qab/f0.42110.36440.3406（0.2817）0.31490.47420.5112
      t /s0.82950.14900.8043（6.0184）2.27534.45850.5876
      Scene 4EN6.55387.0778（6.4951）7.27157.35607.14597.4440
      MI13.107514.1555（12.9902）14.543114.712014.291814.8880
      PSNR5.27541.88304.1543（1.3799）2.67311.54445.3001
      Qab/f0.44050.42400.3292（0.2994）0.31040.33220.4494
      t /s0.91090.12691.0296（6.8183）2.56285.05400.4864
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    Mai Jiang, Guijun Sha, Ning Li. Infrared and Visible Image Fusion with Guided Filtering and Dual-Tree Complex Wavelet Transform[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1010008

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    Paper Information

    Category: Image Processing

    Received: Oct. 18, 2021

    Accepted: Feb. 21, 2022

    Published Online: May. 17, 2023

    The Author Email: Jiang Mai (tawan_83@163.com)

    DOI:10.3788/LOP212755

    Topics

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