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Proceedings Paper

Archetype classification in an iterated transformation image compression algorithm
Author(s): Roger D. Boss; E. W. Jacobs
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Paper Abstract

A method for generating a set of archetypes that are used to classify ranges and domains in an iterated transformation image compression encoder is presented. Fidelity versus encoding time data are presented, and compared with a more conventional classification scheme. The results indicate that for intermediate encoding times, both fidelity and encoding speed can be improved by using archetype classification.

Paper Details

Date Published: 1 March 1994
PDF: 11 pages
Proc. SPIE 2037, Chaos/Nonlinear Dynamics: Methods and Commercialization, (1 March 1994); doi: 10.1117/12.167537
Show Author Affiliations
Roger D. Boss, Naval Command, Control and Ocean Surveillance Ctr. (United States)
E. W. Jacobs, Naval Command, Control and Ocean Surveillance Ctr. (United States)


Published in SPIE Proceedings Vol. 2037:
Chaos/Nonlinear Dynamics: Methods and Commercialization
Helena S. Wisniewski, Editor(s)

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