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

被引：7
|
作者：
Goldschneider, JR [1 ]
Riskin, EA
机构：
[1] MathSoft Inc, Seattle, WA 98109 USA
[2] Univ Washington, Dept Elect Engn, Seattle, WA 98195 USA
来源：
IEEE TRANSACTIONS ON IMAGE PROCESSING | 1999年 / 8卷 / 09期
关键词：
best basis selection; bit allocation; compression; tree-structured vector quantization; wavelet packets;
D O I：
10.1109/83.784444
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：1305 / 1309
页数：5
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