Paper
21 March 1997 Hybrid pyramidal/vector-quantized volume compression
Ranjit P. Desai, Jai P. Menon
Author Affiliations +
Proceedings Volume 3023, Three-Dimensional Image Capture; (1997) https://doi.org/10.1117/12.269752
Event: Electronic Imaging '97, 1997, San Jose, CA, United States
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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ranjit P. Desai and Jai P. Menon "Hybrid pyramidal/vector-quantized volume compression", Proc. SPIE 3023, Three-Dimensional Image Capture, (21 March 1997); https://doi.org/10.1117/12.269752
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Cited by 1 scholarly publication.
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KEYWORDS
Image compression

Computer programming

Video compression

Visualization

3D video compression

Quantization

3D image processing

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