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Proceedings Paper

Adaptive algorithm for generating optimal bases for digital images
Author(s): David Dreisigmeyer; Michael J. Kirby
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Paper Abstract

We propose an adaptive basis algorithm which transforms the Karhunen-Loeve (KL) procedure (which optimizes the mean- square-error) to a new method which minimizes the maximum error of the projected data. This idea is extended and applied to a noisy KL procedure. It is seen that significant dimensionality reduction may be obtained via this adaptive procedure. Four numerical experiments are presented using a data set consisting of digital images of human faces.

Paper Details

Date Published: 16 December 1999
PDF: 11 pages
Proc. SPIE 3814, Mathematics of Data/Image Coding, Compression, and Encryption II, (16 December 1999); doi: 10.1117/12.372742
Show Author Affiliations
David Dreisigmeyer, Colorado State Univ. (United States)
Michael J. Kirby, Colorado State Univ. (United States)


Published in SPIE Proceedings Vol. 3814:
Mathematics of Data/Image Coding, Compression, and Encryption II
Mark S. Schmalz, Editor(s)

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