Adaptive wavelet packet based image coding with optimal entropy-constrained lattice vector quantizer (ECLVQ)

被引：3
|
作者：
Kim, WH
Nguyen, T
Ku, YH
机构：
[1] Los Alamos Natl Lab, Los Alamos, NM 87545 USA
[2] Boston Univ, Dept Elect Engn, Boston, MA 02215 USA
[3] Univ Wisconsin, Dept Elect Engn, Madison, WI 53706 USA
来源：
IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1998年 / 46卷 / 07期
关键词：
Image coding; Lattice vector quantizer; Wavelet packet;
D O I：
10.1109/78.700974
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this work, wavelet basis and source coding are jointly optimized, while specifying the source coding strategy as entropy-constrained lattice vector quantizer (ECLVQ). The presented approach differs from previous works in which the choice of wavelet basis is quasioptimal, but the quantizer set is optimally chosen.
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页码：2019 / 2026
页数：8
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