Title of article :
A still-image encoder based on adaptive resolution vector quantization featuring needless calculation elimination architecture
Author/Authors :
M.، Fujibayashi, نويسنده , , T.، Nozawa, نويسنده , , T.، Nakayama, نويسنده , , K.، Mochizuki, نويسنده , , M.، Konda, نويسنده , , K.، Kotani, نويسنده , , S.، Sugawa, نويسنده , , T.، Ohmi, نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2003
Pages :
-725
From page :
726
To page :
0
Abstract :
A still-image encoder based on vector quantization (VQ) has been developed using 0.35-(mu)m 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 :
predator-prey , Carbon dioxide , Top-down , Greenhouse gas , ozone , air pollution , Bottom-up , atmospheric change , pheromone
Journal title :
IEEE Journal of Solid- State Circuits
Serial Year :
2003
Journal title :
IEEE Journal of Solid- State Circuits
Record number :
62918
Link To Document :
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