• Acta Optica Sinica
  • Vol. 38, Issue 2, 0210002 (2018)
Zetao Jiang, Hui Wu*, and Xiaoling Zhou
Author Affiliations
  • Key Laboratory of Image and Graphic Intelligent Processing of Higher Education in Guangxi, Guilin University of Electronic Technology, Guilin, Guangxi 541004, China
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    DOI: 10.3788/AOS201838.0210002 Cite this Article Set citation alerts
    Zetao Jiang, Hui Wu, Xiaoling Zhou. Infrared and Visible Image Fusion Algorithm Based on Improved Guided Filtering and Dual-Channel Spiking Cortical Model[J]. Acta Optica Sinica, 2018, 38(2): 0210002 Copy Citation Text show less
    Structure of DCSCM
    Fig. 1. Structure of DCSCM
    Flow chart of the proposed fusion algorithm
    Fig. 2. Flow chart of the proposed fusion algorithm
    UNcamp image set and fusion results. (a) Infrared image; (b) visible image; (c) method in Ref. [1]; (d) method in Ref. [10]; (e) method in Ref. [13]; (f) proposed method
    Fig. 3. UNcamp image set and fusion results. (a) Infrared image; (b) visible image; (c) method in Ref. [1]; (d) method in Ref. [10]; (e) method in Ref. [13]; (f) proposed method
    First set of images and fusion results. (a) Infrared image; (b) visible image; (c) method in Ref. [1]; (d) method in Ref. [10]; (e) method in Ref. [13]; (f) proposed method
    Fig. 4. First set of images and fusion results. (a) Infrared image; (b) visible image; (c) method in Ref. [1]; (d) method in Ref. [10]; (e) method in Ref. [13]; (f) proposed method
    Second set of images and fusion results. (a) Infrared image; (b) visible image; (c) method in Ref. [1]; (d) method in Ref. [10]; (e) method in Ref. [13]; (f) proposed method
    Fig. 5. Second set of images and fusion results. (a) Infrared image; (b) visible image; (c) method in Ref. [1]; (d) method in Ref. [10]; (e) method in Ref. [13]; (f) proposed method
    Fusion methodUNcamp image set
    Average gradientSpatial frequencyStandard deviationInformation entropyTime /s
    Ref. [1] method4.761718.963731.04146.848686
    Ref. [10] method6.080421.699431.28296.82994
    Ref. [13] method4.674418.769531.28776.81090.1
    Proposed method4.954519.656434.68467.060936
    Table 1. Comparison results of the UNcamp image set
    Fusion methodAverage gradientSpatial frequencyStandard deviationInformation entropyTime /s
    Ref. [1] method7.547429.456041.29057.311385
    Ref. [10] method7.433627.764242.70317.32054
    Ref. [13] method7.135528.570840.58867.28430.1
    Proposed method7.867530.813743.33757.285037
    Table 2. Comparison results of the first set of images
    Fusion methodAverage gradientSpatial frequencyStandard deviationInformation entropyTime /s
    Ref. [1] method5.930129.338434.79956.738692
    Ref. [10] method4.848619.787932.02176.67485
    Ref. [13] method5.818129.508737.12856.84960.1
    Proposed method5.745828.763935.74106.818536
    Table 3. Comparison results of the second set of images
    Zetao Jiang, Hui Wu, Xiaoling Zhou. Infrared and Visible Image Fusion Algorithm Based on Improved Guided Filtering and Dual-Channel Spiking Cortical Model[J]. Acta Optica Sinica, 2018, 38(2): 0210002
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