Abstract
We have developed an advanced vector quantization (VQ) encoding hardware for still image encoding systems. By utilizing needless calculation elimination method, computational cost of VQ encoding is reduced to 40% or less, while maintaining the accuracy of full-search VQ. We have also developed a still image compression algorithm based on adaptive resolution VQ (AR-VQ), which realizes compression ratio over 1/200 while maintaining image quality. We have successfully implemented these two technologies into a still image encoding processor. The processor can compress still image of 1600 × 2400 pixels within one second, which is 60 times faster than software implementation on current PCs.
Original language | English |
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Pages | 262-265 |
Number of pages | 4 |
Publication status | Published - 2002 Dec 1 |
Event | 2002 Symposium on VLSI Circuits Digest of Technical Papers - Honolulu, HI, United States Duration: 2002 Jun 13 → 2002 Jun 15 |
Other
Other | 2002 Symposium on VLSI Circuits Digest of Technical Papers |
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Country/Territory | United States |
City | Honolulu, HI |
Period | 02/6/13 → 02/6/15 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering