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Proceedings Paper

Progressive coding of medical volumetric data using three-dimensional integer wavelet packet transform
Author(s): Zixiang Xiong; Xiaolin Wu; David Y. Yun; William A. Pearlman
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Paper Abstract

We examine progressive lossy to lossless compression of medical volumetric data using three-dimensional (3D) integer wavelet packet transforms and set partitioning in hierarchical trees (SPIHT). To achieve good lossy coding performance, we describe a 3D integer wavelet packet transform that allows implicit bit shifting of wavelet coefficients to approximate a 3D unitary transformation. We also address context modeling for efficient entropy coding within the SPIHT framework. Both lossy and lossless coding performances are better than those reported recently in reference one.

Paper Details

Date Published: 28 December 1998
PDF: 9 pages
Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); doi: 10.1117/12.334681
Show Author Affiliations
Zixiang Xiong, Univ. of Hawaii (United States)
Xiaolin Wu, Univ. of Western Ontario (Canada)
David Y. Yun, Univ. of Hawaii (United States)
William A. Pearlman, Rensselaer Polytechnic Institute (United States)


Published in SPIE Proceedings Vol. 3653:
Visual Communications and Image Processing '99
Kiyoharu Aizawa; Robert L. Stevenson; Ya-Qin Zhang, Editor(s)

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