A simple improved full search for vector quantization based on Winograd's identity

被引：3

作者：

Chung, KL ^{[1
]}

Yan, WM

Wu, JG

机构：

[1] Natl Taiwan Univ Sci & Technol, Inst Comp Sci & Informat Engn, Dept Informat Management, Taipei 10672, Taiwan

[2] Natl Taiwan Univ, Dept Comp Sci & Informat Engn, Taipei 10764, Taiwan

[3] Natl Taiwan Normal Univ, Dept Informat & Comp Educ, Taipei 10764, Taiwan

来源：

IEEE SIGNAL PROCESSING LETTERS | 2000年 / 7卷 / 12期

关键词：

full search; image compression; vector quantization; Winograd's identity;

D O I：

10.1109/97.883363

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：

Vector quantization (VQ) technique is a well known method in image compression. Employing Winograd's identity, this letter presents a simple improved method in order to cat the computation time in the full search method for VQ nearly 50%, Some experiments are carried out to confirm the theoretical analysis.

引用

页码：342 / 344

页数：3

共 7 条

[1] AN IMPROVEMENT OF THE MINIMUM DISTORTION ENCODING ALGORITHM FOR VECTOR QUANTIZATION [J].