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Proceedings Paper

Optimization techniques for real-time image processing
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Paper Abstract

Real-time image-processing differs from 'ordinary' image-processing in that the logical correctness of the system requires both correct and timely outputs. And, although special real-time imaging architectures are available or can theoretically be constructed, there are no standard programming languages to support these architectures. Moreover, many applications cannot or do not take advantage of any special imaging architectures; they use standard processors instead. In this case, optimization of run-time code is necessarily done with hand-tuning or by trial-and-error. In this paper these optimization techniques are formalized and it is shown how they can be applied to imaging algorithms in real-time to improve run-time performance.

Paper Details

Date Published: 23 March 1995
PDF: 7 pages
Proc. SPIE 2421, Image and Video Processing III, (23 March 1995); doi: 10.1117/12.205471
Show Author Affiliations
Phillip A. Laplante, Fairleigh Dickinson Univ. (United States)
Edward R. Dougherty, Rochester Institute of Technology (United States)

Published in SPIE Proceedings Vol. 2421:
Image and Video Processing III
Robert L. Stevenson; Sarah A. Rajala, Editor(s)

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