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22 December 1997 Compromises between two dynamics for implementation of simulated annealing algorithms-based image restoration
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Abstract
One of classes of stochastic algorithms, which are very powerful in the case of the degraded image reconstruction of a degraded image using iterative stochastic process require a large number of operations. We are investigating in massively parallel implementation of image processing dedicated simulated annealing based algorithms. In this paper, we discuss compromises for such implementation based on study of two dynamics: Metropolis and Glauber ones. Simulated results have been reported.
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Kurosh Madani and Nabil Mesbah "Compromises between two dynamics for implementation of simulated annealing algorithms-based image restoration", Proc. SPIE 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing, (22 December 1997); https://doi.org/10.1117/12.295631
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