• DocumentCode
    1917113
  • Title

    Detail-preserving approach for impulse noise removal from images

  • Author

    Xiao, Xiaokui ; Li, Shaofa

  • Author_Institution
    Shenzhen Polytech., China
  • fYear
    2004
  • fDate
    14-16 Sept. 2004
  • Firstpage
    28
  • Lastpage
    32
  • Abstract
    An impulse removal algorithm is proposed to overcome the difficulty of detail preservation which is commonly encountered by existing methods. At the impulse detection stage, a directional impulse detection method is employed to avoid the misclassification of thin lines as impulses. As for the noise filtering stage, a hybrid algorithm which combines median-based filtering with pattern matching technique is adopted. Experiments show that the proposed approach outperforms a number of existing algorithms and the improvement on detail preservation is significant.
  • Keywords
    image classification; image denoising; impulse noise; median filters; pattern matching; detail preservation; directional impulse detection; hybrid algorithm; impulse detection stage; impulse noise removal; median-based filtering; noise filtering stage; pattern matching; thin line misclassification; Detectors; Filtering algorithms; Gray-scale; Image restoration; Image texture; Impulse testing; Matched filters; Pattern matching; Pixel; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology, 2004. CIT '04. The Fourth International Conference on
  • Print_ISBN
    0-7695-2216-5
  • Type

    conf

  • DOI
    10.1109/CIT.2004.1357170
  • Filename
    1357170