• DocumentCode
    389286
  • Title

    A generalized image enhancement algorithm using fuzzy sets and its application

  • Author

    Peng, Dong-Liang ; Wu, Tie-Jun

  • Author_Institution
    Inst. of Intelligent Syst. & Decision Making, Zhejiang Univ., Hangzhou, China
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    820
  • Abstract
    The theory of fuzzy sets has been used to deal with image enhancement problems of some degraded images in which there are uncertainties and inaccuracies. For those kinds of images, good enhancement effect can be obtained using a fuzzy sets-based image enhancement method instead of the traditional image enhancement approaches. A generalized image enhancement algorithm using fuzzy sets is proposed based on the fuzzy enhancement algorithm. This new algorithm retains the advantages of the fuzzy enhancement and the gray level transformation, and therefore is suitable for handling the enhancement problems of images that have less gray levels and low contrast. Finally, a simulated example is given to demonstrate the validity of this enhancement method.
  • Keywords
    fuzzy set theory; image enhancement; iterative methods; degraded images; fuzzy sets; generalized image enhancement algorithm; gray level transformation; Cameras; Degradation; Filtration; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Image enhancement; Optical distortion; Pixel; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
  • Print_ISBN
    0-7803-7508-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2002.1174496
  • Filename
    1174496