Name
Title | ||
|---|---|---|
A still image encoder based on adaptive resolution vector quantization employing needless calculation elimination architecture |
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 successfully implemented the advanced encoding method and Adaptive resolution VQ (AR-VQ), which realizes compression ratio over 1/200 while maintaining image quality, into a still image encoding processor. The processor can compress still image of 1600 x 2400 pixels within one second, which is 60 times faster than software implementation on current PCs. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1145/1119772.1119894 | ASP-DAC |
Keywords | DocType | ISBN |
needless calculation elimination method,advanced encoding method,compression ratio,full-search vq,vq encoding,image encoder,image quality,adaptive resolution vector quantization,advanced vector quantization,computational cost,encoding hardware,needless calculation elimination architecture,adaptive resolution,logic design,integrated circuit design,sorting,image resolution,vlsi design,radix sort | Conference | 0-7803-7660-9 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Fujibayashi | 1 | 3 | 1.49 |
| T. Nozawa | 2 | 4 | 2.26 |
| T. Nakayama | 3 | 0 | 0.34 |
| K. Mochizuki | 4 | 0 | 0.34 |
| K. Kotani | 5 | 0 | 0.34 |
| S. Sugawa | 6 | 0 | 0.34 |
| Tadahiro Ohmi | 7 | 114 | 36.98 |