Journal of Infrared and Millimeter Waves, Volume. 39, Issue 6, 818(2020)

Research on low illumination shortwave infrared image enhancement algorithm

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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    Figures & Tables(9)
    Raw image of short-wave infrared night vision
    Relationship of current and previous frame
    Framework of 3DNR
    Effect of α on image noise
    Image artifacts and noise problem description.
    Image comparison before and after processing by 3DNR
    Image processing results
    Image and its gradient data of second and third column in Fig. 7
    • Table 1. NIQE评价分数

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      Table 1. NIQE评价分数

      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
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    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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    Paper Information

    Category: Image Processing and Software Simulation

    Received: Jun. 18, 2019

    Accepted: --

    Published Online: Jan. 20, 2021

    The Author Email: Xin-Yi TANG (tangxini@189.cn)

    DOI:10.11972/j.issn.1001-9014.2020.06.022

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