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
收藏
页码：342 / 344
页数：3
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