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Proceedings Paper

New approach to high-quality progressive image compression
Author(s): John Kominek
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Paper Abstract

Applications that demand very high resolution imagery are well suited to multi-resolution, progressive image compression. Currently, applying embedded zerotree coding to wavelet decomposition is popular. Though state-of-the-art, this approach is prone to visual artifacts caused by an uneven introduction of detail. Maintaining perceptually acceptable results at every bit-rate in the lossy-to-lossless progression requires a reordering of wavelet information. This paper discuses some modifications and generalizations to zerotree coding. The approach is to rearrange image information according to how humans perceive quality.

Paper Details

Date Published: 16 February 1996
PDF: 10 pages
Proc. SPIE 2663, Very High Resolution and Quality Imaging, (16 February 1996); doi: 10.1117/12.233027
Show Author Affiliations
John Kominek, Univ. of Waterloo (Canada)

Published in SPIE Proceedings Vol. 2663:
Very High Resolution and Quality Imaging
V. Ralph Algazi; Sadayasu Ono; Andrew G. Tescher, Editor(s)

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