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Laser & Optoelectronics Progress, Volume. 56, Issue 8, 081008(2019)

Image Fusion Algorithms for True Color Low Light Level Night Vision

Yunfeng Jiang*, Dongsheng Wu, and Fuyu Huang
Author Affiliations
  • Army Engineering University, Shijiazhuang, Hebei 050000, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (13)
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    References (16)
    Cited By (1)
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    Figures & Tables(13)
    Principle diagram of three-band true-color night vision system

    Fig. 1. Principle diagram of three-band true-color night vision system

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    Source images for Scene 1. (a) Full-wave image; (b) short-wave image; (c) medium-wave image; (d) long-wave image

    Fig. 2. Source images for Scene 1. (a) Full-wave image; (b) short-wave image; (c) medium-wave image; (d) long-wave image

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    Source images for Scene 2. (a) Full-wave image; (b) short-wave image; (c) medium-wave image; (d) long-wave image

    Fig. 3. Source images for Scene 2. (a) Full-wave image; (b) short-wave image; (c) medium-wave image; (d) long-wave image

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    Fusion image for Scene 1 based on weighted average method

    Fig. 4. Fusion image for Scene 1 based on weighted average method

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    Fusion image for Scene 2 based on weighted average method

    Fig. 5. Fusion image for Scene 2 based on weighted average method

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    Fusion image for Scene 1 based on Brovey algorithm based on linear transformation enhancement

    Fig. 6. Fusion image for Scene 1 based on Brovey algorithm based on linear transformation enhancement

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    Fusion image for Scene 2 based on Brovey algorithm based on linear transformation enhancement

    Fig. 7. Fusion image for Scene 2 based on Brovey algorithm based on linear transformation enhancement

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    Fusion image for Scene 1 based on HSI space method

    Fig. 8. Fusion image for Scene 1 based on HSI space method

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    Fusion image for Scene 2 based on HSI space method

    Fig. 9. Fusion image for Scene 2 based on HSI space method

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    Fusion image for Scene 1 based on HIS method based on edge segmentation

    Fig. 10. Fusion image for Scene 1 based on HIS method based on edge segmentation

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    Fusion image for Scene 2 based on HIS method based on edge segmentation

    Fig. 11. Fusion image for Scene 2 based on HIS method based on edge segmentation

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    • Table 1. Impersonal evaluation for Scene 1

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      Table 1. Impersonal evaluation for Scene 1

      MethodMFSFDSDEQIFQ
      Weighted average method-89.07920.675316.36914.9706-18.5114
      Brovey method based on linear transformation enhancement-0.01475.706092.01187.374027.9647
      HIS space method-66.04535.182324.23936.9380-8.3447
      HIS method based on edge segmentation-37.03723.151142.05796.13503.5343

    • Table 2. Impersonal evaluation for Scene 2

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      Table 2. Impersonal evaluation for Scene 2

      MethodMFSFDSDEQIFQ
      Weighted average method-56.89701.738145.95715.6365-1.3823
      Brovey method based on linear transformation enhancement-0.01535.7858104.99356.859831.2756
      HIS space method-65.98289.492458.70917.42362.0884
      HIS method based on edge segmentation-20.28833.549867.70685.863114.9623
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    Yunfeng Jiang, Dongsheng Wu, Fuyu Huang. Image Fusion Algorithms for True Color Low Light Level Night Vision[J]. Laser & Optoelectronics Progress, 2019, 56(8): 081008

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    Paper Information

    Category: Image Processing

    Received: Oct. 8, 2018

    Accepted: Oct. 31, 2018

    Published Online: Jul. 26, 2019

    The Author Email: Jiang Yunfeng (619780336@qq.com)

    DOI:10.3788/LOP56.081008

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology