Chinese Optics Letters, Volume. 16, Issue 1, 013501(2018)

Fusion of the low-light-level visible and infrared images for night-vision context enhancement

Jin Zhu, Weiqi Jin*, Li Li, Zhenghao Han, and Xia Wang
Author Affiliations
  • School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China
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    Figures & Tables(8)
    The proposed infrared and visible image FNCE.
    Test pairs of visible and infrared images captured under low-light-level conditions. (a) “Queen’s Road,” (b) “Buildings.”
    Adaptive brightness stretching method.
    Initial enhancement results for the “Queen’s Road” visible image. (a) The original, (b) result with Zhou’s method[7], and (c) result with the proposed method.
    Structure of the hybrid MSD with the GF and the GDGF.
    Fusion results of different methods for the test images.
    • Table 1. Quantitative Assessments of Different Methods

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      Table 1. Quantitative Assessments of Different Methods

      MethodIEAGQGPSVIFF
      GFF6.60930.01000.613216.48000.4278
      GTF6.32750.00610.284713.75860.2205
      GFCE6.81060.01520.361219.57980.5648
      FNCE6.97860.01870.602920.69760.6580
    • Table 2. Average Running Time on 640 × 480 Images

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      Table 2. Average Running Time on 640 × 480 Images

      MethodGFFGTFGFCEFNCE
      Time (s)0.5266.8331.6052.069
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    Jin Zhu, Weiqi Jin, Li Li, Zhenghao Han, Xia Wang, "Fusion of the low-light-level visible and infrared images for night-vision context enhancement," Chin. Opt. Lett. 16, 013501 (2018)

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    Paper Information

    Category: Other Areas of Optics

    Received: Oct. 29, 2017

    Accepted: Nov. 10, 2017

    Published Online: Jul. 17, 2018

    The Author Email: Weiqi Jin (jinwq@bit.edu.cn)

    DOI:10.3788/COL201816.013501

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