• DocumentCode
    2156017
  • Title

    Fast single image fog removal using edge-preserving smoothing

  • Author

    Yu, Jing ; Liao, Qingmin

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    1245
  • Lastpage
    1248
  • Abstract
    Imaging in poor weather is often severely degraded by scattering due to suspended particles in the atmosphere such as haze and fog. In this paper, we propose a novel fast defogging method from a single image of a scene based on the atmospheric scattering model. In the inference process of the atmospheric veil, the coarser estimate is refined using a fast edge-preserving smoothing approach. The complexity of the proposed method is only a linear function of the number of image pixels and this thus allows a very fast implementation. Results on a variety of outdoor foggy images demonstrate that the proposed method achieves good restoration for contrast and color fidelity resulting in a great improvement in image visibility.
  • Keywords
    atmospheric techniques; fog; geophysical image processing; image colour analysis; smoothing methods; atmospheric scattering model; color fidelity; fast defogging method; fast edge-preserving smoothing approach; fast single image fog removal; image pixels; image visibility; inference process; linear function; scene based method; Atmospheric modeling; Image color analysis; Image edge detection; Image restoration; Pixel; Scattering; Smoothing methods; atmospheric scattering model; atmospheric veil; defog; edge-preserving smoothing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5946636
  • Filename
    5946636