• DocumentCode
    2553451
  • Title

    Automatic Image Haze Removal Based on Luminance Component

  • Author

    Guo, Fan ; Cai, Zixing ; Xie, Bin ; Tang, Jin

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
  • fYear
    2010
  • fDate
    23-25 Sept. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we propose a simple but effective method for visibility restoration from a single image. The main advantage of the proposed algorithm is no user interaction is needed, this allows our algorithm to be applied for practical applications, such as surveillance, intelligent vehicle, etc. Another advantage compared with others is its speed, since the cost of obtaining transmission map is greatly cut down by using Retinex algorithm on luminance component. A comparative study and quantitative evaluation is proposed with the main present-day methods which demonstrate that similar or better quality results are obtained.
  • Keywords
    computer vision; image restoration; Retinex algorithm; automatic image haze removal; luminance component; visibility restoration; Atmospheric modeling; Helium; Image color analysis; Image edge detection; Image restoration; Pixel; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-3708-5
  • Electronic_ISBN
    978-1-4244-3709-2
  • Type

    conf

  • DOI
    10.1109/WICOM.2010.5600632
  • Filename
    5600632