A still-image encoder based on adaptive resolution vector quantization featuring needless calculation elimination architecture

被引:14
|
作者
Fujibayashi, M [1 ]
Nozawa, T
Nakayama, T
Mochizuki, K
Konda, M
Kotani, K
Sugawa, S
Ohmi, T
机构
[1] Tohoku Univ, Grad Sch Engn, Dept Elect Engn, Sendai, Miyagi 9808579, Japan
[2] Tohoku Univ, New Ind Creat Hatchery Ctr, Sendai, Miyagi 9808579, Japan
[3] Tohoku Univ, Grad Sch Engn, Management Sci & Technol Dept, Sendai, Miyagi 9808579, Japan
关键词
high-resolution still-image compression; image compression; vector quantization;
D O I
10.1109/JSSC.2003.810064
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
A still-image encoder based on vector quantization (VQ) has been developed using 0.35-mum triple-metal CMOS technology for encoding a high-resolution, still image. The chip employs the needless calculation elimination method and the adaptive resolution VQ (AR-VQ) technique. The needless calculation elimination method can reduce computational cost of VQ encoding to 40% or less of the full-search VQ encoding, while maintaining the accuracy of full-search VQ. AR-VQ realizes a compression ratio of over 1/200 while maintaining image quality. The processor can compress a still image of 1600 x 2400 pixels within 1 s and operates at 66 MHz with power dissipation of 660 mW under 2.5-V power supply, which is 1000 times larger performance per unit power dissipation than the software implementation on current PCs.
引用
收藏
页码:726 / 733
页数:8
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