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Proceedings Paper

Massively parallel implementation of simulated annealing algorithms for image processing
Author(s): Kurosh Madani; Nabil Mesbah
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Paper Abstract

It is now well known and well accepted that stochastic algorithms are very powerful in the case of degraded image reconstruction. One of the classes of such an approach is simulated annealing based algorithms. However, the reconstruction of a degraded image using iterative stochastic process requires a large number of operations. We are investigating massively parallel implementation of image processing dedicated simulated annealing based algorithms. In this paper, we discuss a massively parallel implementation of Carnevali's algorithm. We debate the elementary processor's structure of such implementation.

Paper Details

Date Published: 19 January 1996
PDF: 11 pages
Proc. SPIE 2599, Three-Dimensional and Unconventional Imaging for Industrial Inspection and Metrology, (19 January 1996); doi: 10.1117/12.230393
Show Author Affiliations
Kurosh Madani, Univ. Paris XII--Val de Marne (France)
Nabil Mesbah, Univ. Paris XII--Val de Marne (France)

Published in SPIE Proceedings Vol. 2599:
Three-Dimensional and Unconventional Imaging for Industrial Inspection and Metrology
Michael R. Descour; Kevin G. Harding; Donald J. Svetkoff, Editor(s)

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