DocumentCode
1682296
Title
Joint singular value decomposition - a new tool for separable representation of images
Author
Pesquet-Popescu, Béatrice ; Pesquet, Jean-Christophe ; Petropulu, Athina P.
Author_Institution
Dept. Signal & Image Process., ENST, Paris, France
Volume
2
fYear
2001
Firstpage
569
Abstract
We propose a separable decomposition approximating the Karhunen-Loeve 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
Keywords
Karhunen-Loeve transforms; approximation theory; image representation; random processes; singular value decomposition; JSVD; Karhunen-Loeve transform; efficient algorithm; image approximation; joint singular value decomposition; matrices; random fields; separable decomposition approximation; separable image representation; simulation results; Eigenvalues and eigenfunctions; Image analysis; Image coding; Image processing; Image representation; Karhunen-Loeve transforms; Matrix decomposition; Pattern recognition; Signal processing; Singular value decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location
Thessaloniki
Print_ISBN
0-7803-6725-1
Type
conf
DOI
10.1109/ICIP.2001.958556
Filename
958556
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