Name
Title | ||
|---|---|---|
Low power very large scale integration prototype for three-dimensional discrete wavelet transform processor with medical applications |
Abstract | ||
|---|---|---|
We present a low-power 3-D discrete wavelet transform processor for medical applications. The main focus is the compression of medical resonance image (MRI) data, although the system could be used as a generic compression chip. The architecture eliminates redundant filter banks by using a central control unit to dynamically adjust filter parameters. An on-chip cache is used to process block inputs minimizing result throughput. Power consumption has been kept to a minimum by placing constraints throughout the entire design process. The modular processor has been prototyped using 0.6-mum complementary metal oxide semiconductor (CMOS) (three metal) technology. It has been simulated at the functional, circuit, and physical levels. The performance measures of the prototype, area, time delay power, and utilization have been evaluated. The prototype operates at an estimated frequency of 272 MHz and dissipates 0.5 W of power. (C) 2003 SPIE and IST. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1117/1.1557696 | JOURNAL OF ELECTRONIC IMAGING |
Keywords | Field | DocType |
discrete wavelet transform,three dimensional,wavelet transforms,wavelets | Lifting scheme,Computer science,Real-time computing,Artificial intelligence,Discrete wavelet transform,Control unit,Computer hardware,Wavelet packet decomposition,Wavelet transform,Wavelet,Computer vision,Second-generation wavelet transform,Stationary wavelet transform | Journal |
Volume | Issue | ISSN |
12 | 2 | 1017-9909 |
Citations | PageRank | References |
2 | 0.39 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wael M. Badawy | 1 | 238 | 28.10 |
| mike talley | 2 | 2 | 0.39 |
| guoqing zhang | 3 | 12 | 2.47 |
| Michael Weeks | 4 | 130 | 16.29 |
| Magdy A. Bayoumi | 5 | 803 | 122.04 |