Acta Optica Sinica, Volume. 37, Issue 8, 0810001(2017)

Infrared and Visible Image Fusion Based on Target Extraction and Guided Filtering Enhancement

Yiquan Wu1,2,3,4,5,6、* and Zhilai Wang1
Author Affiliations
  • 1 College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 211106, China
  • 2 Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing University of Information Science & Technology, Nanjing, Jiangsu 210044, China;
  • 3 Zhejiang Province Key Laboratory for Signal Processing, Zhejiang University of Technology, Hangzhou, Zhejiang 310023, China
  • 4 Guangxi Key Lab of Multi-Source Information Mining and Security, Institute of Mineral Resources, Guangxi Normal University, Guilin, Guangxi 541004, China
  • 5 Key Laboratory of Geo-Spatial Information Technology, Ministry of Land and Resources, Chengdu University of Technology, Chengdu, Sichuan 610059, China
  • 6 Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Ministry of Land and Resources, Chinese Academy of Geological Sciences, Beijing 100037, China
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    Figures & Tables(9)
    Segmentation result based on two-dimensional Tsallis gray entropy
    Schematic of accurate target extraction. (a) Threshold segmentation result of significant map; (b) final extracted target region
    Flow chart of the proposed fusion method
    Three groups of visible images and infrared images. (a) Visible image of group 1; (b) infrared image of group 1; (c) visible image of group 2; (d) infrared image of group 2; (e) visible image of group 3; (f) infrared image of group 3
    Targets extracted from two infrared images by the proposed method and the method in Ref. [13]. (a) Targets extracted from the Fig. 4(b) by the proposed method; (b) targets extracted from the Fig. 4(d) by the proposed method; (c) targets extracted from the Fig. 4(f) by the proposed method; (d) targets extracted from the Fig. 4(b) by the method in Ref. [13]; (e) targets extracted from the Fig. 4(d) by the method in Ref. [13] ; (f) targets extracted from the Fig. 4(f) by the method in Ref. [13]
    Fusion results on the images of group 1. (a) LP method; (b) WT method; (c) SWT method;(d) NSCT method; (e) method in Ref. [13]; (f) proposed method
    Fusion results on the images of group 2. (a) LP method; (b) WT method; (c) SWT method;(d) NSCT method; (e) method in Ref. [13]; (f) proposed method
    Fusion results on the images of group 3. (a) LP method; (b) WT method; (c) SWT method; (d) NSCT method; (e) method in Ref. [13]; (f) proposed method
    • Table 1. Quantitative evaluation results of six image fusion methods

      View table

      Table 1. Quantitative evaluation results of six image fusion methods

      Image groupFusion methodInformation entropyAverage gradientCorrelation coefficientSpatial frequencyDistortion degreeMutual informationStandard deviation
      Images of group 1LP method6.49517.75740.752511.057719.420611.040126.5996
      WT method6.77087.84340.576311.036423.290911.722432.8766
      SWT method6.32076.16020.75738.630619.615710.607424.0802
      NSCT method6.76557.86620.716311.305119.915611.575131.0908
      Method in Ref. [13]7.31057.44420.932112.953420.062613.345345.4183
      Proposed method7.36878.91810.938313.38778.870212.792146.6459
      Images of group 2LP method6.05107.77960.76929.654135.85728.938216.4286
      WT method6.31907.85980.96179.60303.58319.461520.9288
      SWT method5.98786.98600.79748.530235.09708.930015.5457
      NSCT method6.12827.45560.73749.323336.13099.08379.5244
      Method in Ref. [13]6.30274.47410.98686.305233.437110.566623.0787
      Proposed method6.46067.65660.96379.51174.58289.676223.3445
      Images of group 3LP method7.123516.56070.942821.550161.516512.096641.1500
      WT method7.253917.45720.914822.456824.987012.709053.5894
      SWT method7.045614.03100.954017.697426.037611.789939.6084
      NSCT method7.179917.01190.943722.327824.258012.184543.4219
      Method in Ref. [13]7.264116.86100.957824.230816.904714.534354.0441
      Proposed method7.340413.57830.978818.189216.507212.567655.4027
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    Yiquan Wu, Zhilai Wang. Infrared and Visible Image Fusion Based on Target Extraction and Guided Filtering Enhancement[J]. Acta Optica Sinica, 2017, 37(8): 0810001

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    Paper Information

    Category: Image Processing

    Received: Jan. 20, 2017

    Accepted: --

    Published Online: Sep. 7, 2018

    The Author Email: Wu Yiquan (nuaaimage@163.com)

    DOI:10.3788/AOS201737.0810001

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