Clifford-fourier transform for color image processing

41Citations
Citations of this article
21Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The aim of this paper is to define a Clifford-Fourier transform that is suitable for color image spectral analysis. There have been many attempts to define such a transformation using quaternions or Clifford algebras. We focus here on a geometric approach using group actions. The idea is to generalize the usual definition based on the characters of abelian groups by considering group morphisms from 2 to spinor groups Spin(3) and Spin(4). The transformation we propose is parameterized by a bivector and a quadratic form, the choice of which is related to the application to be treated. A general definition for 4D signal defined on the plane is also given; for particular choices of spinors, it coincides with the definitions of S. Sangwine and T. Bülow. © 2010 Springer-Verlag London Limited.

Cite

CITATION STYLE

APA

Batard, T., Berthier, M., & Saint-Jean, C. (2010). Clifford-fourier transform for color image processing. In Geometric Algebra Computing: in Engineering and Computer Science (pp. 135–162). Springer London. https://doi.org/10.1007/978-1-84996-108-0_8

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free