Joint optimal bit allocation and best-basis selection for wavelet packet trees

In this paper, an algorithm for wavelet packet trees that can systematically identify all bit allocations/best-basis selections on the lower convex hull of the rate-distortion curve is presented. The algorithm is applied to tree-structured vector quantizers used to code image subbands that result fr...

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Bibliographic Details
Main Authors: Goldschneider, J.R., Riskin, E.A.
Format: Conference Proceeding
Language:English
Subjects:
Bit rate
Data analysis
Decision support systems
Discrete wavelet transforms
Rate-distortion
Signal analysis
Time frequency analysis
Wavelet analysis
Wavelet packets
Wavelet transforms
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Description
Summary:In this paper, an algorithm for wavelet packet trees that can systematically identify all bit allocations/best-basis selections on the lower convex hull of the rate-distortion curve is presented. The algorithm is applied to tree-structured vector quantizers used to code image subbands that result from the wavelet packet decomposition. This method is compared to optimal bit allocation for the discrete wavelet transform.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.1998.678078