• Journal of Infrared and Millimeter Waves
  • Vol. 39, Issue 6, 818 (2020)
Rui ZHANG1、2、3, Xin-Yi TANG2、3、*, and Zheng LI2、3
Author Affiliations
  • 1University of Chinese Academy of Sciences, Beijing100049China
  • 2Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai200083China
  • 3key Laboratory of Infrared System Detection and Imaging Technology, Shanghai200083China
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    DOI: 10.11972/j.issn.1001-9014.2020.06.022 Cite this Article
    Rui ZHANG, Xin-Yi TANG, Zheng LI. Research on low illumination shortwave infrared image enhancement algorithm[J]. Journal of Infrared and Millimeter Waves, 2020, 39(6): 818 Copy Citation Text show less
    Raw image of short-wave infrared night vision
    Fig. 1. Raw image of short-wave infrared night vision
    Relationship of current and previous frame
    Fig. 2. Relationship of current and previous frame
    Framework of 3DNR
    Fig. 3. Framework of 3DNR
    Effect of α on image noise
    Fig. 4. Effect of α on image noise
    Image artifacts and noise problem description.
    Fig. 5. Image artifacts and noise problem description.
    Image comparison before and after processing by 3DNR
    Fig. 6. Image comparison before and after processing by 3DNR
    Image processing results
    Fig. 7. Image processing results
    Image and its gradient data of second and third column in Fig. 7
    Fig. 8. Image and its gradient data of second and third column in Fig. 7
    NIQE1234
    Original Image7.706 28.094 310.877 512.605 5
    CLAHE9.776 412.912 917.966 020.518 9
    LIME6.241 25.753 06.621 15.570 4
    IEBPT6.761 93.791 06.554 310.469 8
    Our Method5.970 12.944 24.693 55.141 6
    Table 1. NIQE评价分数
    Rui ZHANG, Xin-Yi TANG, Zheng LI. Research on low illumination shortwave infrared image enhancement algorithm[J]. Journal of Infrared and Millimeter Waves, 2020, 39(6): 818
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