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.
引用
收藏
页码：2019 / 2026
页数：8
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