• DocumentCode
    2639812
  • Title

    Aperture Filters Implementation For Noise Removal

  • Author

    Chlapinski, Jakub ; Marshall, S.

  • Author_Institution
    Lodz Tech. Univ.
  • fYear
    2006
  • fDate
    22-24 June 2006
  • Firstpage
    636
  • Lastpage
    639
  • Abstract
    This paper describes implementation for noise removal based on aperture operators. Aperture operators are a subclass of window operators used in automatic filter design. In this implementation, a typical improvement of 30-50% was observed with respect to MSE as compared to well-known median and adaptive Wiener filtering methods
  • Keywords
    filtering theory; filters; image denoising; image restoration; aperture filters; aperture operators; automatic filter design; image processing; noise removal; window operators; Apertures; Filtering; Gray-scale; Humans; Image processing; Machine learning; Shape; Signal design; Signal resolution; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mixed Design of Integrated Circuits and System, 2006. MIXDES 2006. Proceedings of the International Conference
  • Conference_Location
    Gdynia
  • Print_ISBN
    83-922632-2-7
  • Type

    conf

  • DOI
    10.1109/MIXDES.2006.1706661
  • Filename
    1706661
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2639812