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

A still-image encoder based on vector quantization (VQ) has been developed using 0.35-/spl 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 calcula...

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Veröffentlicht in:IEEE journal of solid-state circuits 2003-05, Vol.38 (5), p.726-733
Hauptverfasser: Fujibayashi, M., Nozawa, T., Nakayama, T., Mochizuki, K., Konda, M., Kotani, K., Sugawa, S., Ohmi, T.
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Sprache:eng
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Zusammenfassung:A still-image encoder based on vector quantization (VQ) has been developed using 0.35-/spl 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/spl times/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.
ISSN:0018-9200
1558-173X
DOI:10.1109/JSSC.2003.810064