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International Parallel and Distributed Processing Symposium (IPDPS'03)
An FPGA Implementation of a Flexible, Parallel Image Processing Architecture Suitable for Embedded Vision Systems
Nice, France
April 22-April 26
ISBN: 0-7695-1926-1
Stephanie McBader, NeuriCam S.p.A,
Peter Lee, University of Kent at Canterbury
This paper describes the design of a programmable parallel architecture that is to be used for signal preprocessing in intelligent embedded vision systems. The architecture has been implemented and tested using a Celoxica RC1000 Prototyping Platform with a Xilinx XCV2000E FPGA. The system operates at a clock rate of 50 MHz and can perform preprocessing functions such as filtering, correlation and transformation on an image of 256x256 pixels at up to 667 frames/s.
Citation:
Stephanie McBader, Peter Lee, "An FPGA Implementation of a Flexible, Parallel Image Processing Architecture Suitable for Embedded Vision Systems," ipdps, pp.228a, International Parallel and Distributed Processing Symposium (IPDPS'03), 2003
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