• DocumentCode
    620378
  • Title

    Fast haze removal from a single image

  • Author

    Qian Liu ; Maoyin Chen ; Donghua Zhou

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    3780
  • Lastpage
    3785
  • Abstract
    Images of outdoor scenes show poor visibility in presence of haze. This results in poor performance of many outdoor images progressing systems. In this paper, we present a fast haze removal method using a single color or gray level image. Based on the analyses of physical-based model, we estimate airlight and atmospheric light utilizing the simple average filter. Our method is very simple and efficient and achieves real-time computation. Experiments demonstrate that our results achieve as good visibility as a few state-of-art algorithms´.
  • Keywords
    filtering theory; image colour analysis; image denoising; image restoration; natural scenes; airlight estimation; atmospheric light; color image analysis; haze removal method; outdoor image progressing system; outdoor scene; physical-based model; simple average filter; Atmospheric modeling; Automation; Computational modeling; Educational institutions; Electronic mail; Program processors; Real-time systems; Haze removal; Physical-based model; Real-time; Visibility;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561607
  • Filename
    6561607