• DocumentCode
    2520036
  • Title

    Fusion Image Quality Appraisal Method of Dual-spectrum Night Vision Technology

  • Author

    Zhang, Chuang ; Bai, Lianfa ; Zhang, Yi ; Zhang, Baomin

  • Author_Institution
    Nanjing Univ. of Sci. & Technol.
  • Volume
    1
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 1 2006
  • Firstpage
    656
  • Lastpage
    659
  • Abstract
    In dual-spectrum night vision technology, the fusion image quality is the key to appraise the fusion method The target of dual-spectrum night vision technology is to enhance the definition of the scenery and the target identification probability, according to the above requirement, using the target identification probability, the signal to noise ratio and the new grayscale accrete matrix three methods to appraise the fusion images. The experimental targets are the fusion image of the low light level (LLL) image and the infrared image, the fusion image of the LLL image and the ultraviolet image, the fusion image of the LLL image and the laser assistant image and the fusion image of the dual-spectrum LLL images. The experimental results indicates the appraisal results of three fusion methods are consistently, specially the gray-scale accrete matrix technique can evaluate quantitatively image definition
  • Keywords
    image processing; image sensors; infrared imaging; matrix algebra; night vision; sensor fusion; dual-spectrum night vision technology; fusion image quality appraisal method; grayscale accrete matrix three method; infrared image; laser assistant image; signal-to-noise ratio; target identification probability; ultraviolet image; Appraisal; Frequency domain analysis; Gray-scale; Image fusion; Image quality; Infrared imaging; Laser fusion; Night vision; Paper technology; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7695-2616-0
  • Type

    conf

  • DOI
    10.1109/ICICIC.2006.84
  • Filename
    1691885