• DocumentCode
    3249678
  • Title

    Thin lines filtering

  • Author

    Atta, A. ; Darwish, A. ; Metwally, M.

  • Author_Institution
    Fac. of Eng., Cairo Univ., Giza, Egypt
  • fYear
    2004
  • fDate
    20-22 Oct. 2004
  • Firstpage
    711
  • Lastpage
    714
  • Abstract
    A proposed thin lines (TL) filtering method is addressed in order to remove impulse noise from image features that fill less than half the area of the transform window such as thin lines, bands, and corners. Validation of the proposed method has been carried out by considering groups of different synthetic and real images corrupted by impulse noise at different densities (due to the paper´s limited space, only a single synthetic image is considered). The performance is measured numerically and visually. To support our method, a comparison with the CWM filter is used.
  • Keywords
    digital filters; feature extraction; image denoising; impulse noise; transforms; corrupted images; image features; impulse noise removal; performance; synthetic image; thin lines filtering; transform window; Communication channels; Digital filters; Digital images; Image quality; Information filtering; Information filters; Noise shaping; Pixel; Shape; US Department of Defense;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Multimedia, Video and Speech Processing, 2004. Proceedings of 2004 International Symposium on
  • Print_ISBN
    0-7803-8687-6
  • Type

    conf

  • DOI
    10.1109/ISIMP.2004.1434163
  • Filename
    1434163