• Acta Optica Sinica
  • Vol. 38, Issue 6, 0610001 (2018)
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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    DOI: 10.3788/AOS201838.0610001 Cite this Article Set citation alerts
    Chang Ding, Lili Dong, Wenhai Xu. Enhancement Technique for Infrared Scene with Maritime Target[J]. Acta Optica Sinica, 2018, 38(6): 0610001 Copy Citation Text show less
    Scene 1 and its histogram. (a) Scene 1; (b) histogram
    Fig. 1. 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
    Fig. 2. 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
    Fig. 3. 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
    Fig. 4. 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
    Fig. 5. 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
    Fig. 6. 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
    Fig. 7. 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
    Fig. 8. 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
    Fig. 9. 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
    Fig. 10. 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
    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 1. Comparison of standard derivation 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 2. Comparison of target region’s EME 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
    Table 3. Comparison of target region’s entropy of each algorithm result
    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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