• DocumentCode
    1798632
  • Title

    Fast single image dehazing algorithm

  • Author

    Xipan Lu ; Guoyun Lv ; Tao Lei

  • Author_Institution
    Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´an, China
  • fYear
    2014
  • fDate
    7-9 July 2014
  • Firstpage
    341
  • Lastpage
    346
  • Abstract
    Image captured in foggy weather conditions often suffer from poor visibility. In this paper, we proposed an improved method of dark channel prior. Using the semi-inverse algorithm, the proposed algorithm can accurately identify the foggy area and effectively obtain the global atmospheric light. Then the transmission is obtained according to the minimum channel of RGB. Finally the scene albedo is recovered by inverting the atmospheric scattering model. The main advantage of the proposed algorithm compared with others is its higher speed. This speed allows the algorithm to be applied in real-time processing applications. A comparative experiment with several existing state-of-the-art algorithms shows that the proposed method achieves good restoration for contrast and color fidelity.
  • Keywords
    image colour analysis; image restoration; albedo scene; atmospheric scattering model; color fidelity; contrast restoration; dark channel prior; fast single image dehazing algorithm; foggy weather conditions; global atmospheric light; minimum RGB channel; real-time processing applications; semiinverse algorithm; Algorithm design and analysis; Atmospheric modeling; Filtering theory; Image color analysis; Image restoration; Meteorology; Scattering; dark channel prior; dehazing; semi-inverse;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing (ICALIP), 2014 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-3902-2
  • Type

    conf

  • DOI
    10.1109/ICALIP.2014.7009812
  • Filename
    7009812