Chinese Journal of Liquid Crystals and Displays, Volume. 37, Issue 12, 1580(2022)

Non-uniform illumination image enhancement via symmetric brightness mapping and virtual multi-exposure fusion

Zi-meng HUANG1, Wang-ming XU1,2、*, and Yuan DAN1
Author Affiliations
  • 1School of Information Science and Engineering,Wuhan University of Science and Technology,Wuhan 430081,China
  • 2Engineering Research Center for Metallurgical Automation and Detecting Technology of Ministry of Education,Wuhan University of Science and Technology,Wuhan 430081,China
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    Figures & Tables(10)
    Flow chart of the proposed method
    Comparison of the original and improved BMF curves
    Symmetric BMF curves
    Comparison of image enhancement results for non-uniform illumination image(Example 1)
    Comparison of image enhancement results for non-uniform illumination image(Example 2)
    Comparison of image enhancement results for non-uniform illumination image(Example 3)
    • Table 1. Image information entropy of different methods on each dataset

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      Table 1. Image information entropy of different methods on each dataset

      方法DICMLIMENPENPE-ex1NPE-ex2NPE-ex3VV平均值
      NPE7.1077.1447.6617.3597.5777.3977.3517.371
      SRIE7.2287.0587.6197.3577.5267.3587.4237.367
      YING-EF7.0277.0047.5687.2467.4377.2597.2297.253
      VMEF7.3307.4147.6927.4707.6257.5587.5897.525
      LightenNet7.1027.2357.4237.2177.4647.3937.3627.314
      本文方法7.5867.6737.7137.4937.6447.6397.7617.644
    • Table 2. Average gradients of different methods on each dataset

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      Table 2. Average gradients of different methods on each dataset

      方法DICMLIMENPENPE-ex1NPE-ex2NPE-ex3VV平均值
      NPE6.6007.5766.1988.2516.0569.6326.8497.309
      SRIE5.6605.6215.4197.6805.4568.9856.3426.465
      YING-EF6.2336.7776.0737.4865.8789.3206.5186.898
      VMEF7.4708.2517.9119.3467.19011.0857.6788.419
      LightenNet6.4007.1776.2818.3326.0969.3456.5337.166
      本文方法9.1209.5478.4439.8047.75411.3438.4519.209
    • Table 3. Image contrast of different methods on each dataset

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      Table 3. Image contrast of different methods on each dataset

      方法DICMLIMENPENPE-ex1NPE-ex2NPE-ex3VV平均值
      NPE218.189295.486202.803349.680242.037518.382245.583296.023
      SRIE177.698192.102188.951335.755237.092508.222262.402271.746
      YING-EF201.167261.269227.049318.774265.414529.220263.257295.164
      VMEF266.312352.951344.301454.452326.995647.971315.002386.855
      LightenNet218.130278.932236.603376.230260.232522.982263.912308.146
      本文方法455.035462.012393.181490.352361.963659.082332.418450.683
    • Table 4. Color consistency of different methods on each dataset

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      Table 4. Color consistency of different methods on each dataset

      方法DICMLIMENPENPE-ex1NPE-ex2NPE-ex3VV平均值
      NPE0.9090.9360.9640.9700.9730.9580.9210.947
      SRIE0.8800.9000.9460.9590.9530.9420.8830.923
      YING-EF0.9070.9320.9680.9690.9740.9570.9150.946
      VMEF0.9160.9400.9710.9690.9750.9560.9300.951
      LightenNet0.8930.9190.9560.9640.9660.9530.8930.935
      本文方法0.9330.9540.9770.9770.9810.9610.9510.962
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    Zi-meng HUANG, Wang-ming XU, Yuan DAN. Non-uniform illumination image enhancement via symmetric brightness mapping and virtual multi-exposure fusion[J]. Chinese Journal of Liquid Crystals and Displays, 2022, 37(12): 1580

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    Paper Information

    Category: Research Articles

    Received: May. 18, 2022

    Accepted: --

    Published Online: Nov. 30, 2022

    The Author Email: Wang-ming XU (xuwangming@wust.edu.cn)

    DOI:10.37188/CJLCD.2022-0172

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