• DocumentCode
    1695676
  • Title

    An iterative method for image enhancement based on fuzzy logic

  • Author

    Farbiz, Farzam ; Motamedi, Seyed Ahmad ; Menhaj, Mohammad Bagher

  • Author_Institution
    Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran
  • Volume
    5
  • fYear
    1998
  • Firstpage
    2937
  • Abstract
    This paper presents a new filtering approach based on fuzzy-logic which has high performance in mixed noise environments. This filter is mainly based on the idea that each pixel is not allowed to be uniformly fired by each of the fuzzy rules. We perform several test experiments in order to highlight the merit of the proposed method. The results are very promising and indicating the high performance of the proposed filter in image restoration compared with those of the filters which have been previously cited in image processing literature
  • Keywords
    Gaussian noise; filtering theory; fuzzy logic; image enhancement; image restoration; iterative methods; Gaussian noise; filtering approach; fuzzy logic; fuzzy rules; high performance; image enhancement; image restoration; impulsive noise; iterative method; mixed noise environments; pixel; test experiments; Filtering; Filters; Fuzzy logic; Image enhancement; Image processing; Image restoration; Iterative methods; Performance evaluation; Testing; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-4428-6
  • Type

    conf

  • DOI
    10.1109/ICASSP.1998.678141
  • Filename
    678141