Paper
23 March 1995 Optimization techniques for real-time image processing
Author Affiliations +
Proceedings Volume 2421, Image and Video Processing III; (1995) https://doi.org/10.1117/12.205471
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Phillip A. Laplante and Edward R. Dougherty "Optimization techniques for real-time image processing", Proc. SPIE 2421, Image and Video Processing III, (23 March 1995); https://doi.org/10.1117/12.205471
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KEYWORDS
Convolution

Computer programming

Computer programming languages

Matrices

Real time imaging

Computing systems

Real time image processing

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