Paper
19 January 1996 Massively parallel implementation of simulated annealing algorithms for image processing
Kurosh Madani, Nabil Mesbah
Author Affiliations +
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kurosh Madani and Nabil Mesbah "Massively parallel implementation of simulated annealing algorithms for image processing", Proc. SPIE 2599, Three-Dimensional and Unconventional Imaging for Industrial Inspection and Metrology, (19 January 1996); https://doi.org/10.1117/12.230393
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KEYWORDS
Image processing

Stochastic processes

Reconstruction algorithms

Algorithms

Binary data

Particles

Algorithm development

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