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Distributed image processing on spiral architecture

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3 Author(s)
Qiang Wu ; Dept. of Comput. Syst., Univ. of Technol., Sydney, NSW, Australia ; Xiangjian He ; Hintz, T.

Improving computation efficiency is a key issue in image processing, especially in edge detection, which is very computationally intensive. With the development of real-time applications of image processing, fast processing response is becoming more critical. In this paper, a technique for distributed image processing on a spiral architecture is proposed, which provides a platform for speeding up image processing based on clusters.

Published in:

Algorithms and Architectures for Parallel Processing, 2002. Proceedings. Fifth International Conference on

Date of Conference:

23-25 Oct. 2002