• DocumentCode
    183121
  • Title

    Single image haze removal using dark channel prior and fields of experts model

  • Author

    Pucheng Zhou ; Yuan Zhou

  • Author_Institution
    AnHui Province Key Lab. of Polarization Imaging Detection Technol., Hefei, China
  • fYear
    2014
  • fDate
    19-21 Aug. 2014
  • Firstpage
    820
  • Lastpage
    824
  • Abstract
    The quality of images taken outsides will be impaired severely in bad weather conditions, such as haze, mist, fog or rain. In this paper, to improve the visibility with only single hazy image, a kind of haze removal algorithm is proposed. Firstly, the raw atmospheric transmission map is estimated by use of the dark channel prior. And then, Fields of Experts model is adopted to amend the raw atmosphere transmission map. Finally, the scene albedo is restored based on the atmosphere scattering model. Experiments on a variety of outdoor hazy images verify the feasibility and validity of our algorithm.
  • Keywords
    image denoising; image restoration; atmosphere scattering model; dark channel prior; expert model; hazy image; image quality; raw atmospheric transmission map; single image haze removal algorithm; weather conditions; Atmospheric modeling; Computational modeling; Computer vision; Equations; Image restoration; Mathematical model; Fields of Experts model; dark channel prior; haze removal; image restoration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2014 11th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4799-5147-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2014.6980943
  • Filename
    6980943