• DocumentCode
    3460963
  • Title

    Visibility Enhancement in the Foggy Environment Based on Color Analysis

  • Author

    Wang, Da-Jinn ; Chen, Chao-Ho ; Chen, Tsong-Yi ; Tsai, Wen-Wei

  • Author_Institution
    Dept. of Inf. Manage., Nat. Kaohsiung Marine Univ., Kaohsiung, Taiwan
  • fYear
    2009
  • fDate
    7-9 Dec. 2009
  • Firstpage
    342
  • Lastpage
    345
  • Abstract
    Basically, the visibility of color images captured in the foggy weather will be significantly degraded and diminished. This paper proposes a defogging method based on the atmosphere scattering theory and color analysis. The basic strategy is to use RGB color and tri-stimulus values to provide the exponential contrast enhancement technique for enhancing the visibility of a foggy image. Then, the weighted redistribution of probability density function is adopted for increasing the brightness of the above fog-removed image. Besides, a histogram equalization is introduced to improve the contrast of the finally image. Experimental results show that the degraded images captured in the foggy weather can be effectively restored.
  • Keywords
    computer vision; fog; geophysical signal processing; image colour analysis; image enhancement; image restoration; meteorology; probability; RGB color; atmosphere scattering theory; computer vision; defogging method; exponential contrast enhancement technique; foggy environment; foggy weather restoration; histogram equalization; image color analysis; probability density function weighted redistribution; tristimulus values; visibility enhancement; Atmosphere; Cameras; Degradation; Image analysis; Image color analysis; Image restoration; Image sequences; Light scattering; Roads; Signal restoration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-4244-5543-0
  • Type

    conf

  • DOI
    10.1109/ICICIC.2009.380
  • Filename
    5412592