• DocumentCode
    2453533
  • Title

    Method and Application of Image Clearness in Bad Weather

  • Author

    Wang Jin-song ; An Chao ; Yi Peng

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Chongqing Univ. of Posts & Telecommun., Chongqing, China
  • Volume
    3
  • fYear
    2010
  • fDate
    12-14 April 2010
  • Firstpage
    40
  • Lastpage
    44
  • Abstract
    Aiming at degraded phenomena of images taken in bad weather, in this paper, a new entirely self - adapting method of image clearness is proposed on the basis of an atmospheric scattering model. First, under the gray distributing characteristics of a degraded image, we can get the optimal normal distribution. Second, the gray mean of the sky distribution can be obtained according to the optimal normal distribution. At the same time, to use the gray histogram segments this original image, and we can obtain the iso-depth neighborhoods. Last, employing the model lists equations, and the values of normalized radiance can be gotten. Thereby, the overcast of degraded images can be cleared. Experiments show the method can effectively improve degraded images in bad weather.
  • Keywords
    image processing; normal distribution; atmospheric scattering model; bad weather; degraded image; degraded phenomena; gray distributing characteristics; gray histogram; gray mean; image clearness; iso-depth neighborhoods; model lists equations; normalized radiance; optimal normal distribution; self-adapting method; sky distribution; Arithmetic; Atmospheric modeling; Degradation; Educational institutions; Gaussian distribution; Histograms; Image restoration; Image segmentation; Layout; Scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Mobile Computing (CMC), 2010 International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-6327-5
  • Electronic_ISBN
    978-1-4244-6328-2
  • Type

    conf

  • DOI
    10.1109/CMC.2010.194
  • Filename
    5471318