Journal of Applied Optics, Volume. 43, Issue 6, 1097(2022)

MPPC low-level-light imaging enhancement algorithm based on sub-window box filtering

Xiangyu TANG... Liju YIN*, Hui ZHOU, Guofeng ZOU, Yumin CUI, Yulin DENG and Yanhua ZHANG |Show fewer author(s)
Author Affiliations
  • College of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255049, China
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    Figures & Tables(20)
    Diagram of filtering characteristics in different types of support regions
    Center pixel located in position of eight sub windows
    Sub-window box filter under different parameter conditions
    Flow chart of sub-window box filter operation
    Performance comparison in edge preserving between guided filter and proposed filter
    Flow chart of proposed low-level-light image enhancement algorithm
    Histogram distribution of low-level-light image before and after algorithm processing
    Cumulative histogram probability distribution
    Effect comparison of histogram equalization in different scenes
    Detail layer enhancement of low-level-light image
    Physical drawing of experimental platform
    Internal structure of experimental platform
    Raw images obtained at different levels of illumination
    Comparison of effect of image enhancement by algorithms under10−1lx low-level-light condition
    Comparison of effect of image enhancement by algorithms under10−3lx low-level-light condition
    Comparison of effect of image enhancement by algorithms under10−5lx low-level-light condition
    • Table 1. Image enhancement evaluation indexes under101lx low-level-light environment

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      Table 1. Image enhancement evaluation indexes under101lx low-level-light environment

      算法标准差信息熵平均梯度
      ABCABCABC
      原始图像34.6315.8729.246.381.204.591.260.570.83
      交叉子窗 口算法35.5114.4333.756.411.224.981.370.610.96
      DDE算法35.8216.1133.566.461.164.811.780.721.06
      文献[4]算法37.3517.1536.576.471.194.941.430.891.12
      本文算法39.5820.5640.366.490.775.192.271.151.46
    • Table 2. Image enhancement evaluation indexes under103lx low-level-light environment

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      Table 2. Image enhancement evaluation indexes under103lx low-level-light environment

      算法标准差信息熵平均梯度
      ABCABCABC
      原始图像21.2916.7119.425.851.816.040.770.690.64
      交叉子窗 口算法22.3917.2419.576.041.736.060.870.720.68
      DDE算法24.6718.0819.655.871.665.981.060.800.71
      文献[4]算法26.8918.7019.826.011.636.010.980.870.78
      本文算法28.9419.3028.436.151.396.391.180.951.13
    • Table 3. Image enhancement evaluation indexes under105lx low-level-light environment

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      Table 3. Image enhancement evaluation indexes under105lx low-level-light environment

      算法标准差信息熵平均梯度
      ABCABCABC
      原始图像15.539.178.085.271.554.550.450.370.26
      交叉子窗 口算法14.8810.1014.075.281.384.610.420.430.41
      DDE算法17.1510.5711.595.241.304.580.580.440.37
      文献[4]算法17.4611.2312.025.461.274.610.600.480.42
      本文算法16.5712.4815.165.211.323.890.630.570.51
    • Table 4. Comparison of running time of four algorithmss

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      Table 4. Comparison of running time of four algorithmss

      算法微光环境
      101lx103lx105lx
      交叉子窗口算法10.3719.1146.947
      文献[4]算法9.2107.0623.763
      本文算法2.8162.1771.041
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    Xiangyu TANG, Liju YIN, Hui ZHOU, Guofeng ZOU, Yumin CUI, Yulin DENG, Yanhua ZHANG. MPPC low-level-light imaging enhancement algorithm based on sub-window box filtering[J]. Journal of Applied Optics, 2022, 43(6): 1097

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    Paper Information

    Category: Research Articles

    Received: May. 5, 2022

    Accepted: --

    Published Online: Nov. 18, 2022

    The Author Email:

    DOI:10.5768/JAO202243.0604008

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