• DocumentCode
    2305838
  • Title

    Simulation of the single channel dual-spectrum low light level instrument

  • Author

    Zhang Chuang ; Bai Lianfa ; Zhang Yi

  • Author_Institution
    Coll. of Electron. & Inf. Eng., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
  • Volume
    7
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    3638
  • Lastpage
    3642
  • Abstract
    The single channel dual-spectrum low light level (LLL) instrument uses stripe light filter in the sole channel to obtain the stripe images which contain two LLL wave bands information. This paper specifies the simulation of the LLL stripe image, the method of separating and compensating the stripe image to the entire LLL short wave image and the LLL full wave image. The LLL stripe image is simulated by software from collecting information of dual-channel for the same scenery. The simulated LLL stripe image is separated and compensated by the method of inter-frame and in-frame, and the entire LLL images are rebuilt. The entire LLL short wave image and the LLL full wave image are fused to simulate the result of the single channel dual-spectrum low light level (LLL) instrument. The simulation experimental results indicate that the single channel dual-spectrum color low light level instrument has applied effectively, and has achieved the goal of the dual-band low light level image fusion and objects enhancement.
  • Keywords
    image enhancement; image fusion; optical filters; LLL full wave image; LLL short wave image; dual-band low light level image fusion; objects enhancement; single channel dual-spectrum low light level instrument; stripe images; stripe light filter; Gray-scale; Image fusion; Instruments; Matched filters; Night vision; Optical fiber filters; dual-spectrum; image compensating; image separating; single channel; the LLL stripe image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5584233
  • Filename
    5584233