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

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2 Author(s)
Goldschneider, J.R. ; MathSoft Inc., Seattle, WA, USA ; Riskin, E.A.

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

Published in:
Image Processing, IEEE Transactions on  (Volume:8 ,  Issue: 9 )

Date of Publication: Sep 1999

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