• DocumentCode
    2048482
  • Title

    Multi-Vector Color-Image Filters

  • Author

    Ell, Todd A.

  • Author_Institution
    Essex Univ., Colchester
  • Volume
    5
  • fYear
    2007
  • fDate
    Sept. 16 2007-Oct. 19 2007
  • Abstract
    The linear filtering of color images using hypercomplex convolution and Fourier transforms provides a holistic treatment of color by representing pixels as 3-space vector quantities within the quaternion algebra. But, this technique is limited to images with at most three channels of information, e.g., RGB images. Linear filtering of color images by representing color pixels as multi-vectors embedded in a geometric algebra is presented. This multi-vector representation has similar convolution and Fourier transforms as the quaternion based filters, but provides an avenue for multi-spectral images composed of more than three channels.
  • Keywords
    Fourier transforms; algebra; convolution; image colour analysis; image representation; 3-space vector quantity; Fourier transforms; geometric algebra; hypercomplex convolution; image pixel represention; linear image filtering; multi vector color-image filters; quaternion algebra; Algebra; Color; Convolution; Fourier transforms; Maximum likelihood detection; Multispectral imaging; Nonlinear filters; Pixel; Quaternions; Vectors; Color Image; Convolution Filtering; Geometric Algebra; Multi-vector; Spatio-Color Filtering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2007. ICIP 2007. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1437-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2007.4379811
  • Filename
    4379811