• Acta Photonica Sinica
  • Vol. 49, Issue 4, 0410001 (2020)
Ze-tao JIANG1, Qi JIANG1,*, Yong-song HUANG1, and Shao-qin ZHANG2
Author Affiliations
  • 1Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin, Guangxi 541004, China
  • 2Nanchang Hangkong University, Nangchang 330063, China
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    DOI: 10.3788/gzxb20204904.0410001 Cite this Article
    Ze-tao JIANG, Qi JIANG, Yong-song HUANG, Shao-qin ZHANG. Infrared and Low-light-level Visible Light Enhancement Image Fusion Method Based on Latent Low-rank Representation and Composite Filtering[J]. Acta Photonica Sinica, 2020, 49(4): 0410001 Copy Citation Text show less
    Latent low-rank representation and compound filtering fusion algorithm process
    Fig. 1. Latent low-rank representation and compound filtering fusion algorithm process
    Enhanced low-light images comparison
    Fig. 2. Enhanced low-light images comparison
    Proposed decomposition method process
    Fig. 3. Proposed decomposition method process
    Proposed decomposition method effect
    Fig. 4. Proposed decomposition method effect
    The first group of fusion image comparison
    Fig. 5. The first group of fusion image comparison
    The second group of fusion image comparison
    Fig. 6. The second group of fusion image comparison
    The third group of fusion image comparison
    Fig. 7. The third group of fusion image comparison
    MethodMIIESDAGSF
    Ref.[25]1.838 26.828 431.209 75.600 420.228 9
    Ref.[26]1.879 77.101 837.257 84.569 019.278 7
    Ref.[18]1.820 46.553 029.716 13.456 414.558 4
    Proposed method without low-light visible light enhancement1.856 06.807 433.334 95.456 424.676 3
    Proposed method with low-light visible light enhancement1.941 97.223 944.667 79.461 739.425 3
    Table 1. The first group of objective evaluation indexes for fused images
    MethodMIIESDAGSF
    Ref.[25]1.853 96.764 035.175 03.522 314.042 7
    Ref.[26]1.911 96.707 237.048 73.529 721.152 4
    Ref.[18]1.854 06.029 627.485 12.413 515.432 9
    Proposed method without low-light visible light enhancement1.932 16.589 539.078 84.485 031.624 4
    Proposed method with low-light visible light enhancement2.036 36.793 545.320 97.122 644.213 3
    Table 2. The second group of objective evaluation indexes for fused images
    MethodMIIESDAGSF
    Ref.[25]1.812 27.217 151.378 14.311 016.416 0
    Ref.[26]1.865 87.100 053.673 33.804 015.279 6
    Ref.[18]1.817 66.701 535.757 02.529 010.599 5
    Proposed method without low-light visible light enhancement1.841 16.936 950.214 34.108 918.587 8
    Proposed method with low-light visible light enhancement1.957 67.502 253.755 28.024 535.706 9
    Table 3. The third group of objective evaluation indexes for fused images
    Ze-tao JIANG, Qi JIANG, Yong-song HUANG, Shao-qin ZHANG. Infrared and Low-light-level Visible Light Enhancement Image Fusion Method Based on Latent Low-rank Representation and Composite Filtering[J]. Acta Photonica Sinica, 2020, 49(4): 0410001
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