Share Email Print
cover

Proceedings Paper

Optimal image coding for compression of correlated image sets
Author(s): Yurij S. Musatenko; Vitalij N. Kurashov
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The paper presents new method for compression of correlated image sets. It is known that Karhunen-Loeve (KL) transform is most optimal representation for such a purpose. In our paper we use recently suggested fast algorithm of KL basis construction for compression of correlated image ensembles. The approach is based on fact that every KL basis function give maximum possible contribution in every image and this contribution decreases most quickly among all possible bases. So, we lossy compress every KL basis function by lossy DCT coding with essentially different loss that depends on the functions' contribution in the images.

Paper Details

Date Published: 16 September 1998
PDF: 16 pages
Proc. SPIE 3408, Broadband European Networks and Multimedia Services, (16 September 1998); doi: 10.1117/12.321900
Show Author Affiliations
Yurij S. Musatenko, Kiev Univ. (Ukraine)
Vitalij N. Kurashov, Kiev Univ. (Ukraine)


Published in SPIE Proceedings Vol. 3408:
Broadband European Networks and Multimedia Services
Stephan Fischer; Ralf Steinmetz; Heinrich J. Stuettgen; Harmen R. van As; Roberto Vercelli, Editor(s)

© SPIE. Terms of Use
Back to Top