Title :
A still-image encoder based on adaptive resolution vector quantization featuring needless calculation elimination architecture
Author :
Fujibayashi, Masanori ; Nozawa, Toshiyuki ; Nakayama, Takahiro ; Mochizuki, Kenji ; Konda, Masahiro ; Kotani, Koji ; Sugawa, Shigetoshi ; Ohmi, Tadahiro
Author_Institution :
Dept. of Electron. Eng., Tohoku Univ., Sendai, Japan
fDate :
5/1/2003 12:00:00 AM
Abstract :
A still-image encoder based on vector quantization (VQ) has been developed using 0.35-μm 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 1600×2400 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.
Keywords :
CMOS digital integrated circuits; adaptive codes; data compression; digital signal processing chips; image coding; low-power electronics; vector quantisation; 0.35 micron; 2.5 V; 66 MHz; 660 mW; AR-VQ; adaptive resolution vector quantization; compression ratio; computational cost; image quality; needless calculation elimination architecture; power dissipation; still-image encoder; triple-metal CMOS technology; CMOS technology; Computational efficiency; Computer architecture; Image coding; Image quality; Pixel; Power dissipation; Power supplies; Software performance; Vector quantization;
Journal_Title :
Solid-State Circuits, IEEE Journal of
DOI :
10.1109/JSSC.2003.810064