Optics and Precision Engineering, Volume. 30, Issue 24, 3225(2022)

Fusion of infrared and visible images via structure and texture-aware retinex

Jianping HU1... Mengyun HAO1, Ying DU2, and Qi XIE13,* |Show fewer author(s)
Author Affiliations
  • 1School of Science, Northeast Electric Power University, Jilin3202, China
  • 2School of Data Science and Artificial Intelligence, Jilin Engineering Normal University, Changchun13005, China
  • 3School of Mathematics, Jilin University, Changchun10012, China
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    Figures & Tables(14)
    Flowchart of proposed method
    Decomposition comparison of different Retinex models
    Computation of weight maps for the reflection components of the Bush image
    Computation of weighted maps for the illumination components of the Bush image.
    Influence of the weight maps in our method for the fusion of Bush images
    Fusion result comparison of different Retinex models
    Data set tested in this paper
    Influence on the fusion performance by the main parameters of the method in this paper
    Comparison on the fusion of Street images
    Comparison on the fusion of Meting images
    Comparison on the fusion of Octec images
    Comparison on the fusion of Maninhuis images
    Comparison on the fusion of Walls images
    • Table 1. Objective evaluation results of fused images

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      Table 1. Objective evaluation results of fused images

      Evaluation metricsNSCT-PCLEGTFMSIDIFCNNMSNOOurs
      MI2.657 22.493 22.381 32.547 61.731 53.030 6
      QNICE0.807 00.806 00.805 80.806 00.804 20.809 0
      QP0.298 60.393 20.417 50.347 00.360 40.468 8
      SF6.162 54.855 15.891 96.316 98.977 56.576 9
      AG4.944 43.676 94.740 54.981 09.503 65.533 1
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    Jianping HU, Mengyun HAO, Ying DU, Qi XIE. Fusion of infrared and visible images via structure and texture-aware retinex[J]. Optics and Precision Engineering, 2022, 30(24): 3225

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    Paper Information

    Category: Information Sciences

    Received: May. 28, 2022

    Accepted: --

    Published Online: Feb. 15, 2023

    The Author Email: XIE Qi (xieqi_19820302@126.com)

    DOI:10.37188/OPE.20223024.3225

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