Acta Optica Sinica, Volume. 39, Issue 10, 1015001(2019)

Infrared and Visible Image Fusion Method Based on Convolutional Auto-Encoder and Residual Block

Zetao Jiang and Yuting He*
Author Affiliations
  • Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin, Guangxi 541004, China
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    Figures & Tables(12)
    Architecture of residual block
    Network architecture of proposed method
    Diagram of fusion strategy
    Decline curves of different loss functions in training process
    Framework of training process
    The first group of image fusion contrast experiments. (a) Infrared image; (b) visible image; (c) method in Ref. [15]; (d) method in Ref. [16]; (e) method in Ref. [17]; (f) method in Ref. [18]; (g) proposed method
    The second group of image fusion contrast experiments. (a) Infrared image; (b) visible image; (c) method in Ref. [15]; (d) method in Ref. [16]; (e) method in Ref. [17]; (f) method in Ref. [18]; (g) proposed method
    The third group of image fusion contrast experiments. (a) Infrared image; (b) visible image; (c) method in Ref. [15]; (d) method in Ref. [16]; (e) method in Ref. [17]; (f) method in Ref. [18]; (g) proposed method
    Partial results of image fusion contrast experiments. (a1)-(a6) Infrared images; (b1)-(b6) visible images; (c1)-(c6) method in Ref. [15]; (d1)-(d6) method in Ref. [16]; (e1)-(e6) method in Ref. [17]; (f1)-(f6) method in Ref. [18]; (g1)-(g6) proposed method
    • Table 1. Objective evaluation indicators of the first group of comparative experimental results

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      Table 1. Objective evaluation indicators of the first group of comparative experimental results

      Fusion methodIESDAGMI
      Method in Ref. [15]6.707237.0493.529722.3850
      Method in Ref. [16]6.138132.4363.397330.7770
      Method in Ref. [17]6.698433.5903.349022.7620
      Method in Ref. [18]6.751035.1923.435923.1432
      Proposed method6.641138.2704.145531.8710
    • Table 2. Objective evaluation indicators of the second group of comparative experimental results

      View table

      Table 2. Objective evaluation indicators of the second group of comparative experimental results

      Fusion methodIESDAGMI
      Method in Ref. [15]7.100053.6733.804015.6260
      Method in Ref. [16]6.954049.5134.253016.5480
      Method in Ref. [17]6.971052.7813.717219.3090
      Method in Ref. [18]7.194751.6644.449613.0329
      Proposed method7.475458.7034.484224.5260
    • Table 3. Objective evaluation indicators of the third group of comparative experimental results

      View table

      Table 3. Objective evaluation indicators of the third group of comparative experimental results

      Fusion methodIESDAGMI
      Method in Ref. [15]7.411439.8173.012417.6580
      Method in Ref. [16]7.145935.9163.646717.6800
      Method in Ref. [17]7.076434.8793.171616.9430
      Method in Ref. [18]7.170337.7273.352321.7977
      Proposed method7.348441.7583.845127.3920
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    Zetao Jiang, Yuting He. Infrared and Visible Image Fusion Method Based on Convolutional Auto-Encoder and Residual Block[J]. Acta Optica Sinica, 2019, 39(10): 1015001

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    Paper Information

    Category: Machine Vision

    Received: Apr. 23, 2019

    Accepted: May. 31, 2019

    Published Online: Oct. 9, 2019

    The Author Email: He Yuting (839191881@qq.com)

    DOI:10.3788/AOS201939.1015001

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