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Proceedings Paper

Compression of Image Clusters using Karhunen Loeve Transformations
Author(s): Matthias Kramm
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Paper Abstract

This paper proposes to extend the Karhunen-Loeve compression algorithm to multiple images. The resulting algorithm is compared against single-image Karhunen Loeve as well as algorithms based on the Discrete Cosine Transformation (DCT). Futhermore, various methods for obtaining compressable clusters from large image databases are evaluated.

Paper Details

Date Published: 12 February 2007
PDF: 8 pages
Proc. SPIE 6492, Human Vision and Electronic Imaging XII, 64920G (12 February 2007); doi: 10.1117/12.703992
Show Author Affiliations
Matthias Kramm, Technische Univ. München (Germany)

Published in SPIE Proceedings Vol. 6492:
Human Vision and Electronic Imaging XII
Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Scott J. Daly, Editor(s)

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