• DocumentCode
    2237500
  • Title

    Linear colour-dependent image filtering based on vector decomposition

  • Author

    Sangwine, Stephen J. ; Gatsheni, Barnabas N. ; Ell, Todd A.

  • Author_Institution
    Dept. of Electron. Syst. Eng., Univ. of Essex, Colchester, UK
  • fYear
    2002
  • fDate
    3-6 Sept. 2002
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a new method for devising linear colour-dependent filters based on decomposition of an image into components parallel and perpendicular to a chosen direction in colour space. The components may be separately filtered with linear filters and added to produce an overall result. The paper demonstrates this approach with a colour-selective averager, and then shows that the filter may be implemented without the parallel/perpendicular decomposition by adding the output of two filters, derived in the paper. The approach is based on quaternion algebra and convolution.
  • Keywords
    convolution; image colour analysis; image filtering; vectors; colour space; colour-selective averager; convolution; image decomposition; linear colour-dependent image filtering; quaternion algebra; vector decomposition; Abstracts; Color; Quaternions; Smoothing methods; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2002 11th European
  • Conference_Location
    Toulouse
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7072153