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Proceedings Paper

ASP modules: cost-effective building blocks for real-time computer vision
Author(s): R. M. Lea; Argy Krikelis
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Paper Abstract

Computer vision applications are characterised by the need to provide a rapid response to information derived from a high-speed continuous data stream. For example, real-time computer vision using noninterlaced (60 Hz) raster-scanned image frames requires the completion of all processing tasks (including data input and output) within a frame-time of 16.7 msec, suggesting processing rates of 10-1000 GOPS (Giga Operations Per Second (e.g. iO 8-bit additions per second) and input data rates approaching 1 Gbytes/sec. It is the requirement for such high-performance, unattainable by sequential architectures, which can only be achieved with massively parallel processing.

Paper Details

Date Published: 1 July 1990
PDF: 12 pages
Proc. SPIE 1246, Parallel Architectures for Image Processing, (1 July 1990); doi: 10.1117/12.19567
Show Author Affiliations
R. M. Lea, Aspex Microsystems Ltd. and Brunel Univ. (United Kingdom)
Argy Krikelis, Aspex Microsystems Ltd. and Brunel Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 1246:
Parallel Architectures for Image Processing
Joydeep Ghosh; Colin G. Harrison, Editor(s)

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