Archetype classification in an iterated transformation image compression algorithm

Roger D. Boss; E. W. Jacobs

doi:10.1117/12.167537

1 March 1994 Archetype classification in an iterated transformation image compression algorithm

Roger D. Boss, E. W. Jacobs

Proceedings Volume 2037, Chaos/Nonlinear Dynamics: Methods and Commercialization; (1994) https://doi.org/10.1117/12.167537
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

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.

Citation Download Citation

Roger D. Boss and E. W. Jacobs "Archetype classification in an iterated transformation image compression algorithm", Proc. SPIE 2037, Chaos/Nonlinear Dynamics: Methods and Commercialization, (1 March 1994); https://doi.org/10.1117/12.167537

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