• Spectroscopy and Spectral Analysis
  • Vol. 41, Issue 7, 2023 (2021)
Yu SHEN, Yu-bin YUAN*;, and Jing PENG
Author Affiliations
  • School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
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    DOI: 10.3964/j.issn.1000-0593(2021)07-2023-05 Cite this Article
    Yu SHEN, Yu-bin YUAN, Jing PENG. Research on Near Infrared and Color Visible Fusion Based on PCNN in Transform Domain[J]. Spectroscopy and Spectral Analysis, 2021, 41(7): 2023 Copy Citation Text show less
    The flow chart of algorithm fusion
    Fig. 1. The flow chart of algorithm fusion
    Simplified model of PCNN single neuron
    Fig. 2. Simplified model of PCNN single neuron
    Comparison of visual quality of different fusion methods
    Fig. 3. Comparison of visual quality of different fusion methods
    Bar chart comparison of the average value of parameters of image data under different fusion methods
    Fig. 4. Bar chart comparison of the average value of parameters of image data under different fusion methods
    QMIσSSIMCg
    Sharma等0.505 30.099 40.745 80.468 9
    Yan等0.534 40.063 70.774 50.537 6
    Su等0.714 40.004 40.644 70.632 6
    Bavirisetti等0.631 10.034 40.678 00.623 8
    Our0.823 20.001 10.609 20.748 6
    Our+CSC0.874 00.000 60.522 30.846 7
    Table 1. Comparative analysis of QMI parameters of various fusion methods
    Yu SHEN, Yu-bin YUAN, Jing PENG. Research on Near Infrared and Color Visible Fusion Based on PCNN in Transform Domain[J]. Spectroscopy and Spectral Analysis, 2021, 41(7): 2023
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