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Proceedings Paper

Volume compression of MRI data using zerotrees of wavelet coefficients
Author(s): Michael A. Pratt; Chee-Hung Henry Chu; Stephen T. C. Wong
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Paper Abstract

Volume data such as those acquired by magnetic resonance imaging techniques can be compressed efficiently using the wavelet transform. Wavelet compression methods need to retain both the value and the location of the significant coefficients. We present experimental results demonstrating the use of zerotree encoding methods in wavelet compression can enhance the ability to further compress volume data.

Paper Details

Date Published: 23 October 1996
PDF: 12 pages
Proc. SPIE 2825, Wavelet Applications in Signal and Image Processing IV, (23 October 1996); doi: 10.1117/12.255283
Show Author Affiliations
Michael A. Pratt, Xavier Univ. of Louisiana and Univ. of Southwestern Louisiana (United States)
Chee-Hung Henry Chu, Univ. of Southwestern Louisiana (United States)
Stephen T. C. Wong, Univ. of California/San Francisco (United States)


Published in SPIE Proceedings Vol. 2825:
Wavelet Applications in Signal and Image Processing IV
Michael A. Unser; Akram Aldroubi; Andrew F. Laine, Editor(s)

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