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Journal of Electronic Imaging

Low power very large scale integration prototype for three-dimensional discrete wavelet transform processor with medical applications
Author(s): Wael Badawy; Michael Talley; Guoqing Zhang; Michael Weeks; Magdy A. Bayoumi
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Paper 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-μm 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.

Paper Details

Date Published: 1 April 2003
PDF: 8 pages
J. Electron. Imag. 12(2) doi: 10.1117/1.1557696
Published in: Journal of Electronic Imaging Volume 12, Issue 2
Show Author Affiliations
Wael Badawy, Univ. of Louisiana (United States)
Michael Talley, Univ. of Lousiana (United States)
Guoqing Zhang, Univ. of Louisiana (United States)
Michael Weeks, Univ. of Louisiana (United States)
Magdy A. Bayoumi, Univ. of Louisiana (United States)

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