• DocumentCode
    167209
  • Title

    Remove Strong Light and Atomized Algorithms for Digital Image

  • Author

    Cheng Yi Yu ; Hsueh Yi Lin ; Shih Yun Chen

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Chin-Yi Univ. of Technol., Taichung, Taiwan
  • fYear
    2014
  • fDate
    10-12 June 2014
  • Firstpage
    115
  • Lastpage
    118
  • Abstract
    In this study using dark channel prior for single image remove strong light and atomized. The method used to dark channel estimate transfer and Soft Matting transmittance, of a method for thinning processing, obtain a depth map image of strong light. the light reflected from the scene is affected surface of airborne particles, which leads to a decrease in image contrast, while the ambient scene light will be scattered in the air suspended particles, the scattered light into the imaging device and will cause the image color drift, the overall look of the image becomes blurred images and details of the contents illegible gray color bias. Image of outdoor scenes are degraded by the medium. Can be effective remove strong light, so that the overall image contrast in natural.
  • Keywords
    image colour analysis; image thinning; ambient scene light; atomized algorithms; dark channel prior; image color drift; image contrast; soft matting transmittance; strong light removal; thinning processing; Atmosphere; Channel estimation; Computer vision; Image color analysis; Imaging; Reflection; Scattering; Dark channel prior; Soft Matting transmittance; Strong light; image color drift;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Consumer and Control (IS3C), 2014 International Symposium on
  • Conference_Location
    Taichung
  • Type

    conf

  • DOI
    10.1109/IS3C.2014.41
  • Filename
    6845473