In this work, 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 prediction errors to enhance entropy coding. Results and comparisons with other schemes are presented and discussed together with computational issues.

A distributed implementation of fuzzy clustering and switching of linear regression models for lossless compression of imagery and 3D data / Aiazzi, B.; Alba, P.; Alparone, L.; Baronti, S.; Lotti, F.; Mattei, A.. - STAMPA. - (1998), pp. 382-387. (Intervento presentato al convegno IEEE 2nd Workshop on Multimedia Signal Processing tenutosi a REDONDO BEACH, CA, usa nel DEC 07-09, 1998) [10.1109/MMSP.1998.738966].

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

ALPARONE, LUCIANO;
1998

Abstract

In this work, 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 prediction errors to enhance entropy coding. Results and comparisons with other schemes are presented and discussed together with computational issues.
1998
1998 IEEE SECOND WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING
IEEE 2nd Workshop on Multimedia Signal Processing
REDONDO BEACH, CA, usa
DEC 07-09, 1998
Aiazzi, B.; Alba, P.; Alparone, L.; Baronti, S.; Lotti, F.; Mattei, A.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1075607
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 1
social impact