• Acta Optica Sinica
  • Vol. 39, Issue 10, 1001002 (2019)
Jian Gong*, Junwei Lü**, and Liang Liu***
Author Affiliations
  • College of Aviation Combat Service, Naval Aviation University, Yantai, Shandong 264000, China
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    DOI: 10.3788/AOS201939.1001002 Cite this Article Set citation alerts
    Jian Gong, Junwei Lü, Liang Liu. Target Enhancement of Infrared Polarization Image Based on Color Space Fusion and Context-Aware Saliency[J]. Acta Optica Sinica, 2019, 39(10): 1001002 Copy Citation Text show less
    Infrared polarization/intensity image acquisition system. (a) Schematic diagram; (b) photo of system
    Fig. 1. Infrared polarization/intensity image acquisition system. (a) Schematic diagram; (b) photo of system
    Infrared intensity and polarization degree images in different scenarios. (a)-(c) Infrared images; (d)-(f) infrared polarization degree images; (g)-(i) 3D images of infrared intensity; (j)-(l) 3D images of infrared polarization degree
    Fig. 2. Infrared intensity and polarization degree images in different scenarios. (a)-(c) Infrared images; (d)-(f) infrared polarization degree images; (g)-(i) 3D images of infrared intensity; (j)-(l) 3D images of infrared polarization degree
    Flow chart of enhancement of dim and small target
    Fig. 3. Flow chart of enhancement of dim and small target
    Mapping relationship of improved HSI color space fusion
    Fig. 4. Mapping relationship of improved HSI color space fusion
    Infrared polarization degree image histograms in different scenarios. (a) Scenario 1; (b) scenario 2; (c) scenario 3
    Fig. 5. Infrared polarization degree image histograms in different scenarios. (a) Scenario 1; (b) scenario 2; (c) scenario 3
    Experimental results of improved HSI color space fusion. (a) Scenario 1; (b) scenario 2; (c) scenario 3
    Fig. 6. Experimental results of improved HSI color space fusion. (a) Scenario 1; (b) scenario 2; (c) scenario 3
    Threshold segmentation histograms of sea area. (a) Scenario 1; (b) scenario 2; (c) scenario 3
    Fig. 7. Threshold segmentation histograms of sea area. (a) Scenario 1; (b) scenario 2; (c) scenario 3
    HSI color space fusion images of sea area. (a) Scenario 1; (b) scenario 2; (c) scenario 3
    Fig. 8. HSI color space fusion images of sea area. (a) Scenario 1; (b) scenario 2; (c) scenario 3
    Context-aware saliency maps in different scenarios. (a) Before grayscale transformation; (b) after grayscale transformation
    Fig. 9. Context-aware saliency maps in different scenarios. (a) Before grayscale transformation; (b) after grayscale transformation
    Enhanced images of sea-surface dim and small targets. (a) Enhanced images; (b) enhanced 3D images
    Fig. 10. Enhanced images of sea-surface dim and small targets. (a) Enhanced images; (b) enhanced 3D images
    Evaluation indexIRDOPMethod in Ref. [8]Method in Ref. [6]Proposed method
    C(scenario 1)0.07010.43310.80440.27210.9934
    LSCR(scenario 1)2.78995.29963.86373.822225.5557
    C(scenario 2)0.12810.53340.87650.31720.9825
    LSCR(scenario 2)6.76997.22477.18674.690631.0078
    C(scenario 3)0.48450.72580.36460.42730.9854
    LSCR(scenario 3)14.26208.46876.06878.973531.1225
    C¯0.22760.56410.68180.33890.9871
    L¯SCR7.94066.99775.70645.828829.2287
    Notes: C¯ represents average value of C of scenario 1, scenario 2, and scenario 3; L¯SCR represents average value of LSCR of scenario 1, scenario 2, and scenario 3.
    Table 1. Performance comparison of different algorithms
    Jian Gong, Junwei Lü, Liang Liu. Target Enhancement of Infrared Polarization Image Based on Color Space Fusion and Context-Aware Saliency[J]. Acta Optica Sinica, 2019, 39(10): 1001002
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