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Record Details

Record 62 of 8701
Vector quantization for volume rendering
Author and Affiliation:
Ning, Paul(NASA Ames Research Center, Moffett Field, CA, United States)
Hesselink, Lambertus(Stanford Univ., CA, United States)
Abstract: Volume rendering techniques typically process volumetric data in raw, uncompressed form. As algorithmic and architectural advances improve rendering speeds, however, larger data sets will be evaluated requiring consideration of data storage and transmission issues. In this paper, we analyze the data compression requirements for volume rendering applications and present a solution based on vector quantization. The proposed system compresses volumetric data and then renders images directly from the new data format. Tests on a fluid flow data set demonstrate that good image quality may be achieved at a compression ratio of 17:1 with only a 5 percent cost in additional rendering time.
Publication Date: Oct 01, 1992
Document ID:
19930068176
(Acquired Dec 28, 1995)
Accession Number: 93A52173
Subject Category: CYBERNETICS
Document Type: Preprint
Publication Information: 7 p.
Publisher Information: United States
Meeting Information: ACM, Workshop on Volume Visualization, Boston; Oct. 19-20, 1992; Boston, MA; United States
Meeting Sponsor: ACM
Contract/Grant/Task Num: NSF ECS-88-15815; NAG2-701; NCA2-579
Financial Sponsor: NASA; United States
Organization Source: NASA Ames Research Center; Moffett Field, CA, United States
Description: 7p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright
NASA Terms: ALGORITHMS; DATA COMPRESSION; DATA STORAGE; IMAGE PROCESSING; SCIENTIFIC VISUALIZATION; VOLUME; ARCHITECTURE (COMPUTERS); DATA TRANSMISSION; VECTORS (MATHEMATICS)
Imprint And Other Notes: ACM, Workshop on Volume Visualization, Boston, MA, Oct. 19, 20, 1992, Paper
Availability Source: Other Sources
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