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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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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Riskin, E.A.
description 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.
doi_str_mv 10.1109/ICASSP.1998.678078
format conference_proceeding
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identifier ISSN: 1520-6149
ispartof Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), 1998, Vol.5, p.2693-2696 vol.5
issn 1520-6149
2379-190X
language eng
recordid cdi_ieee_primary_678078
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Bit rate
Data analysis
Decision support systems
Discrete wavelet transforms
Rate-distortion
Signal analysis
Time frequency analysis
Wavelet analysis
Wavelet packets
Wavelet transforms
title Joint optimal bit allocation and best-basis selection for wavelet packet trees
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