Spectral predictors

Data Compression Conference Proceedings

Volumn , Issue , 2007, Pages 163-172

  Ibarria, Lorenzo ^a   Lindstrom, Peter ^b   Rossignac, Jarek ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HIGH PRECISION SCALAR FIELDS; SPATIAL PATTERNS; SPECTRAL PREDICTORS;

COMPUTATIONAL METHODS; CONTENT BASED RETRIEVAL; DATA COMMUNICATION SYSTEMS; DATA COMPRESSION; IMAGE CODING; SPECTRUM ANALYSIS; TABLE LOOKUP;

IMAGING SYSTEMS;

EID: 34547621031     PISSN: 10680314     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DCC.2007.72     Document Type: Conference Paper

References (19)

1. A. W. Cook, W. H. Cabot, P. L. Williams, B. J. Miller, B. R. de Supinski, R. K. Yates, and M. L. Welcome, "Tera-scalable algorithms for variable-density elliptic hydrodynamics with spectral accuracy," in ACM/IEEE Supercomputing, 2005, p. 60.
2. G. W. Larson, "LogLuv encoding for full-gamut, high-dynamic range images," Journal of Graphics Tools, vol. 3, no. 1, pp. 15-31, 1998.
3. D. F. Maune, Digital Elevation Model Technologies and Applications: The DEM Users Manual. American Society for Photogrammetry and Remote Sensing, 2001.
4. M. J. Weinberger, G. Seroussi, and G. Sapiro, "The LOCO-I lossless image compression algorithm: Principles and standardization into JPEG-LS," IEEE Transactions on Image Processing, vol. 9, no. 8, pp. 1309-1324, 2000.
5. G. Roelofs, PNG: The Definitive Guide. O'Reilly, 2003, http://www.libpng.org/pub/png/book/.
6. C. Tourna and C. Gotsman, "Triangle mesh compression," in Graphics Interface, 1998, pp. 26-34.
7. V. Engelson, D. Fritzson, and P. Fritzson, "Lossless compression of high-volume numerical data from simulations," in Data Compression Conference, 2000, pp. 574-586.
8. P. Ratanaworabhan, J. Ke, and M. Burtscher, "Fast lossless compression of scientific floating-point data," in Data Compression Conference, 2006, pp. 133-142.
9. P. Lindstrom and M. Isenburg, "Fast and efficient compression of floating-point data," IEEE Transactions on Visualization and Computer Graphics, vol. 12, no. 5, pp. 1245-1250, 2006.
10. H. Kobayashi and L. R. Bahl, "Image data compression by predictive coding I: Prediction algorithms," IBM Journal of Research and Development, vol. 18, no. 2, pp. 164-171, 1974.
11. E. H. Feria, "Linear predictive transform of monochrome images," Image and Vision Computing, vol. 5, no. 4, pp. 267-278, 1987.
12. A. W. Paeth, "Image file compression made easy," in Graphics Gems II, J. Arvo, Ed. San Diego: Academic Press, 1991.
13. L. Ibarria, P. Lindstrom, J. Rossignac, and A. Szymczak, "Out-of-core compression and decompression of large n-dimensional scalar fields," Computer Graphics Forum, vol. 22, no. 3, pp. 343-348, 2003.
14. C. Chrysafis and A. Ortega, "Efficient context-based entropy coding for lossy wavelet image compression," in Data Compression Conference, 1997, pp. 241-250.
15. G. K. Wallace, "The JPEG still picture compression standard," Communications of the ACM, vol. 34, no. 4, pp. 30-44, 1991.
16. M. Isenburg, I. Ivrissimtzis, S. Gumhold, and H.-P Seidel, "Geometry prediction for high degree polygons," in SCCG, 2005, pp. 147-152.
17. H. Zhang, "Discrete combinatorial Laplacian operators for digital geometry processing," in SIAM Conference on Geometric Design, 2004, pp. 575-592.
18. G. Taubin, "A signal processing approach to fair surface design," in ACM SIGGRAPH, 1995, pp. 351-358.
19. A. Mascarenhas, M. Isenburg, V. Pascucci, and J. Snoeyink, "Encoding volumetric grids for streaming isosurface extraction," in 3DPVT, 2003, pp. 665-672.