• DocumentCode
    2260157
  • Title

    An Improved Fog-Degrading Image Enhancement Algorithm Based on the Fuzzy Contrast

  • Author

    Liu, Huiyan ; He, Wenzhang ; Liu, Rui

  • Author_Institution
    Tianjin Univ. of Technol. & Educ., Tianjin, China
  • fYear
    2010
  • fDate
    11-14 Dec. 2010
  • Firstpage
    570
  • Lastpage
    573
  • Abstract
    This paper constructs a fuzzy contrast enhancement algorithm and then combination with mathematical morphology to improve the fog blurred images which captured in bad weather. In this algorithm, we improve the membership function of fuzzy domain and its inverse operation. Meanwhile, we define a new more effective function which can calculate the pixel gray membership function after enhanced. Experimental results show that the contrast and clarity of images are much improved after they are processed by the algorithm which proposed in this paper, and it effectively improves the gray and blocking effect which arises in the sky region and the visual quality of the whole image significantly.
  • Keywords
    fog; fuzzy set theory; geophysical image processing; image enhancement; image resolution; image restoration; meteorology; blocking effect; fog blurred images; fog-degrading image enhancement algorithm; fuzzy contrast; image clarity; inverse operation; mathematical morphology; pixel gray membership function; sky region; visual quality; weather; fog image; fuzzy contrast; image enhancement; membership function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2010 International Conference on
  • Conference_Location
    Nanning
  • Print_ISBN
    978-1-4244-9114-8
  • Electronic_ISBN
    978-0-7695-4297-3
  • Type

    conf

  • DOI
    10.1109/CIS.2010.130
  • Filename
    5696346