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Proceedings Paper

Embedded lossy and lossless image compression based on integer wavelet transform with hybrid zerotree and bitplane coding
Author(s): Pablo Manzano; Julian Martinez-Ricci; Ana M. C. Ruedin
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Paper Abstract

We present a coder that yields good quality images at very high compression rates. It performs embedded coding and can carry out both lossy and lossless compression, properties which are suitable for progressive transmission. It is based on an integer to integer wavelet transform, and uses augmented zerotrees with a hybrid technique that incorporates bitplane coding as well.

Paper Details

Date Published: 5 December 2001
PDF: 9 pages
Proc. SPIE 4478, Wavelets: Applications in Signal and Image Processing IX, (5 December 2001); doi: 10.1117/12.449719
Show Author Affiliations
Pablo Manzano, Univ. de Buenos Aires (Argentina)
Julian Martinez-Ricci, Univ. de Buenos Aires (Argentina)
Ana M. C. Ruedin, Univ. de Buenos Aires (Argentina)


Published in SPIE Proceedings Vol. 4478:
Wavelets: Applications in Signal and Image Processing IX
Andrew F. Laine; Michael A. Unser; Akram Aldroubi, Editor(s)

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