Optimal bit allocation and best-basis selection for wavelet packets and TSVQ

IEEE Transactions on Image Processing

Volumn 8, Issue 9, 1999, Pages 1305-1309

  Goldschneider, Jill R ^a   Riskin, Eve A ^b  

^a Parametric Technology Corporation   (United States)

^b University of Washington   (United States)

Author keywords

Best basis selection; Bit allocation; Compression; Tree structured vector quantization; Wavelet packets

Indexed keywords

EID: 0012064546     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/83.784444     Document Type: Article

References (7)

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3. K. Ramchandran and M. Vetterli, "Best wavelet packet bases in a rate-distortion sense," IEEE Trans. Image Processing, vol. 2, pp. 160-175, 1993.
4. A. Gersho and R. M. Gray, Vector Quantization and Signal Compression. Boston, MA: Kluwer, 1992.
5. P. A. Chou, T. Lookabaugh, and R. M. Gray, "Optimal pruning with applications to tree-structured source coding and modeling," IEEE Trans. Inform. Theory, vol. 35, pp. 299-315, Mar. 1989.
6. R. Coifman and M. V. Wickerhauser, "Entropy-based algorithms for best basis selection," IEEE Trans. Inform. Theory, vol. 38, pp. 713-718, 1992.
7. J. R. Goldschneider, "Lossy compression of earth science data," Ph.D. dissertation, Univ. Washington, Seattle, WA, June 1997. Available at: http://rcs.ee.washington.edu/COMPRESSION/homepage.html.