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Laser & Optoelectronics Progress, Volume. 61, Issue 10, 1037008(2024)

Infrared and Visible Image Fusion Based on Saliency Adaptive Weight Map

Haiyang Ding1,2, Mingli Dong1,2,3、*, Chenhua Liu1,2,3, Xitian Lu1,2,3, and Chentong Guo1,2,3
Author Affiliations
  • 1Key Laboratory of Optoelectronic Measurement Technology and Instrument, Ministry of Education, School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science & Technology University, Beijing 100192, China
  • 2Beijing Laboratory of Optical Fiber Sensing and System, Beijing Information Science & Technology University, Beijing 100016, China
  • 3Guangzhou Nansha Intelligent Photonic Sensing Research Institute, Guangzhou 511462, Guangdong , China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (10)
    Equations (23)
    References (26)
    Cited By (2)
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    Figures & Tables(10)
    Fusion framework of the proposed method

    Fig. 1. Fusion framework of the proposed method

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    Example of basic layer output under different parameters

    Fig. 2. Example of basic layer output under different parameters

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    Example of RGF and Gaussian filtering operation results. (a)‒(c) RGF continuous operation result; (d) result of Gaussian filtering for Fig.3 (c)

    Fig. 3. Example of RGF and Gaussian filtering operation results. (a)‒(c) RGF continuous operation result; (d) result of Gaussian filtering for Fig.3 (c)

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    Example of the fused base layer

    Fig. 4. Example of the fused base layer

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    Example of detail layer exploded view, saliency map, and weight map. (a) Example of detail layer exploded view; (b) example of saliency map; (c) example of weight map

    Fig. 5. Example of detail layer exploded view, saliency map, and weight map. (a) Example of detail layer exploded view; (b) example of saliency map; (c) example of weight map

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    Comparison of fusion results on scene 1 of TNO dataset. (a) Infrared image; (b) visual image; (c) ADF; (d) CBF; (e) FPDE; (f) TarDAL; (g) IFEVIP; (h) TIF; (i) proposed method

    Fig. 6. Comparison of fusion results on scene 1 of TNO dataset. (a) Infrared image; (b) visual image; (c) ADF; (d) CBF; (e) FPDE; (f) TarDAL; (g) IFEVIP; (h) TIF; (i) proposed method

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    Comparison of fusion results on scene 2 of TNO dataset. (a) Infrared image; (b) visual image; (c) ADF; (d) CBF; (e) FPDE; (f) TarDAL; (g) IFEVIP; (h) TIF; (i) proposed method

    Fig. 7. Comparison of fusion results on scene 2 of TNO dataset. (a) Infrared image; (b) visual image; (c) ADF; (d) CBF; (e) FPDE; (f) TarDAL; (g) IFEVIP; (h) TIF; (i) proposed method

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    Comparison of fusion results on scene 3 of TNO dataset. (a) Infrared image; (b) visual image; (c) ADF; (d) CBF; (e) FPDE; (f) TarDAL; (g) IFEVIP; (h) TIF; (i) proposed method

    Fig. 8. Comparison of fusion results on scene 3 of TNO dataset. (a) Infrared image; (b) visual image; (c) ADF; (d) CBF; (e) FPDE; (f) TarDAL; (g) IFEVIP; (h) TIF; (i) proposed method

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    Comparison of fusion results on scene 4 of TNO dataset. (a) Infrared image; (b) visual image; (c) ADF; (d) CBF; (e) FPDE; (f) TarDAL; (g) IFEVIP; (h) TIF; (i) proposed method

    Fig. 9. Comparison of fusion results on scene 4 of TNO dataset. (a) Infrared image; (b) visual image; (c) ADF; (d) CBF; (e) FPDE; (f) TarDAL; (g) IFEVIP; (h) TIF; (i) proposed method

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    • Table 1. Comparison of indicators of different methods on TNO dataset

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      Table 1. Comparison of indicators of different methods on TNO dataset

      MethodSDPSNRVIFAGCCSCDENSF
      Ours9.01163.0870.6768.6120.4751.6386.9810.089
      ADF8.65064.0960.6733.6570.5211.5906.4270.036
      CBF8.99662.6130.5305.7100.3871.3416.9020.056
      FPDE8.63664.0950.6563.6140.5231.5906.4160.035
      TarDAL9.04462.5020.8083.8910.4541.5846.8080.042
      IFEVIP9.08961.1070.8804.1840.4581.6166.8370.042
      TIF8.89363.8690.7713.9740.5101.6726.6650.041
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    Haiyang Ding, Mingli Dong, Chenhua Liu, Xitian Lu, Chentong Guo. Infrared and Visible Image Fusion Based on Saliency Adaptive Weight Map[J]. Laser & Optoelectronics Progress, 2024, 61(10): 1037008

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    Paper Information

    Category: Digital Image Processing

    Received: Aug. 24, 2023

    Accepted: Oct. 9, 2023

    Published Online: Apr. 29, 2024

    The Author Email: Mingli Dong (dongml@bistu.edu.cn)

    DOI:10.3788/LOP231977

    CSTR:32186.14.LOP231977

    Topics

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