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A distributed implementation of fuzzy clustering and switching of linear regression models for lossless compression of imagery and 3D data

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6 Author(s)
B. Aiazzi ; Ist. di Ricerca sulle Onde Elettromagnetiche, CNR, Firenze, Italy ; P. Alba ; L. Alparone ; S. Baronti
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A distributed implementation of a new method for reversible compression of both 2D and 3D data is presented. A classified prediction is first trained through fuzzy clustering; then, data decorrelation is accomplished by prediction in a fuzzy fashion. Context-based adaptive arithmetic coding is tailored to the prediction errors to enhance entropy coding. Results and comparisons with other schemes are presented and discussed together with computational issues

Published in:

Multimedia Signal Processing, 1998 IEEE Second Workshop on

Date of Conference:

7-9 Dec 1998