• Laser & Optoelectronics Progress
  • Vol. 60, Issue 10, 1010008 (2023)
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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    DOI: 10.3788/LOP212755 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Two levels of DTCWT decomposition
    Fig. 1. Two levels of DTCWT decomposition
    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
    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
    Flow chart of proposed image fusion algorithm
    Fig. 4. Flow chart of proposed image fusion algorithm
    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
    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
    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
    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
    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
    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
    Table 1. Objective evaluation indicators value of different algorithms under various scenes
    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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