Adaptive Entropy-Constrained Residual Vector Quantization

被引：2
|
作者：
Kossentini, Faouzi [1 ]
Smith, Mark J. T. [1 ]
机构：
[1] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA
来源：
IEEE SIGNAL PROCESSING LETTERS | 1994年 / 1卷 / 08期
关键词：
D O I：
10.1109/97.311814
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：
Entropy-constrained residual vector quantization (EC-RVQ) is a relatively new VQ method that was shown to be capable of excellent rate-distortion performance. This paper investigates the incorporation of adaptivity into the EC-RVQ framework for application to image coding. Experimental results show that the dynamic nature of the implementation leads to a noticeable improvement in coding quality as well as improved robustness.
引用
收藏
页码：121 / 123
页数：3
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