1 March 1994 Archetype classification in an iterated transformation image compression algorithm
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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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Roger D. Boss, Roger D. Boss, E. W. Jacobs, E. W. Jacobs, } "Archetype classification in an iterated transformation image compression algorithm", Proc. SPIE 2037, Chaos/Nonlinear Dynamics: Methods and Commercialization, (1 March 1994); doi: 10.1117/12.167537; https://doi.org/10.1117/12.167537
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