• DocumentCode
    2934981
  • Title

    Adaptive Defogging of a Single Image

  • Author

    Yao, Bo ; Huang, Lei ; Liu, Changping

  • Author_Institution
    China Inst. of Autom., Chinese Acad. of Sci., Beijing, China
  • Volume
    1
  • fYear
    2009
  • fDate
    12-14 Dec. 2009
  • Firstpage
    56
  • Lastpage
    59
  • Abstract
    Based on the physical model of fogged images, a new method is proposed to enhance the visibility of a single image adaptively. In order to restrain the edge halation produced by virtual air light defogging method, the concept of neighboring pixel´s relative depth information is brought up. Input images may have different extent of disturbance of fog or haze, and they need different strength of defogging adaptively. Hence, we propose a method to calculate the deserved defogging ratio with valid edge intensity. Experimental results have proven the validity and robustness of our proposal.
  • Keywords
    image enhancement; adaptive image defogging; deserved defogging ratio; edge halation; neighboring pixel relative depth information; valid edge intensity; virtual air light defogging; visibility enhancement; Attenuation; Color; Computational intelligence; Design automation; Image restoration; Optical reflection; Pollution; Proposals; Rain; Robustness; defogging; defogging ratio; valid edge intensity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-0-7695-3865-5
  • Type

    conf

  • DOI
    10.1109/ISCID.2009.21
  • Filename
    5370453