Acta Optica Sinica, Volume. 38, Issue 6, 0610001(2018)

Enhancement Technique for Infrared Scene with Maritime Target

Chang Ding, Lili Dong*, and Wenhai Xu
Author Affiliations
  • School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning 116026, China
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    Figures & Tables(13)
    Scene 1 and its histogram. (a) Scene 1; (b) histogram
    Enhancement of scene 1 using typical algorithms. (a) Double plateaus histogram equalization; (b) histogram double equalization; (c) UM; (d) Retinex
    Flowchart of the proposed algorithm
    Histogram of scene 1 and histogram of its gradient magnitude. (a) Scene 1; (b) histogram; (c) gradient magnitude; (d) histogram of gradient magnitude
    Enhanced results for scene 1 by each algorithm. (a) Original image; (b) algorithm of Ref. [2]; (c) algorithm of Ref. [3]; (d) algorithm of Ref. [16]; (e) Retinex algorithm; (f) proposed algorithm
    Enhanced results for scene 2 by each algorithm. (a) Original image; (b) algorithm of Ref. [2]; (c) algorithm of Ref. [3]; (d) algorithm of Ref. [16]; (e) Retinex algorithm; (f) proposed algorithm
    Enhanced results for scene 3 by each algorithm. (a) Original image; (b) algorithm of Ref. [2]; (c) algorithm of Ref. [3]; (d) algorithm of Ref. [16]; (e) Retinex algorithm; (f) proposed algorithm
    Enhanced results for scene 4 by each algorithm. (a) Original image; (b) algorithm of Ref. [2]; (c) algorithm of Ref. [3]; (d) algorithm of Ref. [16]; (e) Retinex algorithm; (f) proposed algorithm
    Enhanced results for scene 5 by each algorithm. (a) Original image; (b) algorithm of Ref. [2]; (c) algorithm of Ref. [3]; (d) algorithm of Ref. [16]; (e) Retinex algorithm; (f) proposed algorithm
    Enhanced results for scene 6 by each algorithm. (a) Original image; (b) algorithm of Ref. [2]; (c) algorithm of Ref. [3]; (d) algorithm of Ref. [16]; (e) Retinex algorithm; (f) proposed algorithm
    • Table 1. Comparison of standard derivation of each algorithm result

      View table

      Table 1. Comparison of standard derivation of each algorithm result

      AlgorithmScene 1Scene 2Scene 3Scene 4Scene 5Scene 6
      Original image18.2411.2816.9529.6536.3510.44
      Algorithm of Ref. [2]38.3333.2137.4543.7236.8714.58
      Algorithm of Ref. [3]74.0068.5867.8769.9779.9961.80
      Algorithm of Ref. [16]36.8026.9536.5031.7926.3324.87
      Retinex algorithm10.2816.9416.2519.4430.2211.21
      Proposed algorithm12.369.8510.5724.6112.6921.21
    • Table 2. Comparison of target region’s EME of each algorithm result

      View table

      Table 2. Comparison of target region’s EME of each algorithm result

      AlgorithmScene 1Scene 2Scene 3Scene 4Scene 5Scene 6
      RegionRegion
      Original image1.880.760.900.810.931.551.100.413.393.69
      Algorithm of Ref. [2]3.741.001.111.221.422.841.710.393.423.65
      Algorithm of Ref. [3]3.271.031.402.512.695.5538.851.116.595.56
      Algorithm of Ref. [16]1.410.771.141.051.061.741.910.735.776.09
      Retinex algorithm3.231.173.292.592.991.819.211.2710.0810.58
      Proposed algorithm1.761.072.492.312.585.301.862.236.587.85
    • Table 3. Comparison of target region’s entropy of each algorithm result

      View table

      Table 3. Comparison of target region’s entropy of each algorithm result

      AlgorithmScene 1Scene 2Scene 3Scene 4Scene 5Scene 6
      RegionRegion
      Original image4.283.844.304.965.445.823.675.455.075.94
      Algorithm of Ref. [2]4.283.734.164.895.335.733.615.405.055.89
      Algorithm of Ref. [3]3.742.843.004.254.304.923.124.294.154.09
      Algorithm of Ref. [16]3.643.974.194.334.885.164.776.006.186.63
      Retinex algorithm3.782.793.202.853.223.833.563.564.975.52
      Proposed algorithm3.073.204.884.715.486.384.605.756.177.06
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    Chang Ding, Lili Dong, Wenhai Xu. Enhancement Technique for Infrared Scene with Maritime Target[J]. Acta Optica Sinica, 2018, 38(6): 0610001

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    Paper Information

    Category: Image Processing

    Received: Dec. 19, 2017

    Accepted: --

    Published Online: Jul. 9, 2018

    The Author Email: Dong Lili (1147776326@qq.com)

    DOI:10.3788/AOS201838.0610001

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