Optimization techniques for real-time image processing

Phillip A. Laplante, Edward R. Dougherty

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsRobert L. Stevenson, Sarah A. Rajala
Pages116-122
Number of pages7
StatePublished - 1995
EventImage and Video Processing III - San Jose, CA, USA
Duration: Feb 9 1995Feb 10 1995

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2421
ISSN (Print)0277-786X

Other

OtherImage and Video Processing III
CitySan Jose, CA, USA
Period2/9/952/10/95

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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