|
Published Articles >> Table of Contents >> Abstract
Ninth Pacific Conference on Computer Graphics and Applications (PG'01)
p. 0212
Visualization-Specific Compression of Large Volume Data
Chandrajit Bajaj, The Univ. of Texas at Austin
Sanghun Park, The Univ. of Texas at Austin
Insung Ihm, Sogang University
Full Article Text:
  
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PCCGA.2001.962876
Send link to a friend
| Abstract |
|
When interactive real-time applications are developed with very large volume data, the use of lossy compression is often inevitable. Lossy compression schemes generally encode data without consideration of the purpose of visualization that is actually performed, which often results in inefficient compression. In this paper, we present a new method for classifying voxels according to their importance in visualization, and assigning appropriate weights to them. The associated weight information can be combined with lossy compression schemes to reduce the visual degradation of reconstructed images, resulting in higher compression rates and visual fidelity. Test results demonstrate that the proposed technique improves both the amount of compression and the quality of visualization significantly.
|
 Additional Information
|
Citation:
Chandrajit Bajaj, Sanghun Park, Insung Ihm,
"Visualization-Specific Compression of Large Volume Data,"
pg,
p. 0212,
Ninth Pacific Conference on Computer Graphics and Applications (PG'01),
2001
|
|
