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Proceedings Paper

Wavelet compression of medical images with set partitioning in hierarchical trees
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Paper Abstract

Wavelet-based image compression is proving to be a very effective technique for medical images, giving significantly better results than the JPEG algorithm. A novel scheme for encoding wavelet coefficients, termed set partitioning in hierarchical trees, has recently been proposed and yields significantly better compression than more standard methods. We report the results of experiments comparing such coding to more conventional wavelet compression and to JPEG compression on several types of medical images.

Paper Details

Date Published: 15 April 1996
PDF: 9 pages
Proc. SPIE 2707, Medical Imaging 1996: Image Display, (15 April 1996); doi: 10.1117/12.238447
Show Author Affiliations
Armando Manduca, Mayo Clinic and Foundation (United States)
Amir Said, State Univ. of Campinas (United States)

Published in SPIE Proceedings Vol. 2707:
Medical Imaging 1996: Image Display
Yongmin Kim, Editor(s)

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