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

Authors:
J. R. Goldschneider;E. A. Riskin
Affiliations:
MathSoft Inc., Seattle, WA;-
Venue:
IEEE Transactions on Image Processing
Year:
1999

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Abstract

To use wavelet packets for lossy data compression, the following issues must be addressed: quantization of the wavelet subbands, allocation of bits to each subband, and best-basis selection. We present an algorithm for wavelet packets that systematically identifies all bit allocations/best-basis selections on the lower convex hull of the rate-distortion curve. We demonstrate the algorithm on tree-structured vector quantizers used to code image subbands from the wavelet packet decomposition