• DocumentCode
    3405535
  • Title

    Physics-based fast single image fog removal

  • Author

    Yu, Jing ; Xiao, Chuangbai ; Li, Dapeng

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • fYear
    2010
  • fDate
    24-28 Oct. 2010
  • Firstpage
    1048
  • Lastpage
    1052
  • Abstract
    Imaging in poor weather is often severely degraded by scattering due to suspended particles in the atmosphere such as haze, fog and mist. Poor visibility becomes a major problem for most outdoor vision applications. In this paper, we propose a novel fast defogging method from a single image of a scene based on a fast bilateral filtering approach. The complexity of our method is only a linear function of the number of input image pixels and this thus allows a very fast implementation. Results on a variety of outdoor foggy images demonstrate that our method achieves good restoration for contrast and color fidelity, resulting in a large improvement in image visibility.
  • Keywords
    computer vision; filtering theory; fog; image colour analysis; image enhancement; color fidelity; contrast fidelity; fast bilateral filtering; fast defogging method; haze; image pixel; mist; outdoor vision application; physics-based fast single image fog removal; poor image visibility; poor weather; suspended particles; Atmospheric modeling; Estimation; Image color analysis; Image edge detection; Image restoration; Pixel; Scattering; atmospheric veil; bilateral filter; defog; visibility restoration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2010 IEEE 10th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5897-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2010.5655901
  • Filename
    5655901