Joint singular value decomposition - a new tool for separable representation of images

B. Pesquet-Popescu, J. C. Pesquet, A. P. Petropulu

Research output: Contribution to conferencePaperpeer-review

14 Scopus citations

Abstract

In this paper we propose a separable decomposition approximating the Karhunen-Loève transform for random fields. We show that this problem is related to a joint singular value decomposition of a set of matrices and we provide an efficient algorithm to compute it. Finally, we illustrate the interest of this new tool for image representation and approximation.

Original languageEnglish (US)
Pages569-572
Number of pages4
StatePublished - 2001
Externally publishedYes
EventIEEE International Conference on Image Processing (ICIP) - Thessaloniki, Greece
Duration: Oct 7 2001Oct 10 2001

Other

OtherIEEE International Conference on Image Processing (ICIP)
Country/TerritoryGreece
CityThessaloniki
Period10/7/0110/10/01

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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