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Proceedings Paper

Hybrid pyramidal/vector-quantized volume compression
Author(s): Ranjit P. Desai; Jai P. Menon
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Paper Abstract

Compression and decompression of volume data is gaining increasing importance, especially with wide use of volume visualization techniques in distributed environments. Hitherto researchers have used direct extensions of still- image and video compression techniques to volume data, but these are associated with limitations of scalar quantization. We present an orientation band (ORB) technique for volume compression that exploits orientation information, and consequently preserves structure within the data. The ORB scheme uses a hybrid of lossless (pyramidal) and lossy (vector quantized) techniques to compress within user-specified space and error bounds. The resulting compressed volumes are suited for progressive network transmission and for fast volume rendering.

Paper Details

Date Published: 21 March 1997
PDF: 11 pages
Proc. SPIE 3023, Three-Dimensional Image Capture, (21 March 1997); doi: 10.1117/12.269752
Show Author Affiliations
Ranjit P. Desai, Univ. of Texas/Austin (United States)
Jai P. Menon, IBM Thomas J. Watson Research Ctr. (United States)

Published in SPIE Proceedings Vol. 3023:
Three-Dimensional Image Capture
Richard N. Ellson; Joseph H. Nurre, Editor(s)

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