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Issue No.04 - April (1998 vol.20)
pp: 380-390
<p><b>Abstract</b>—We propose a general synchronous model of lattice random fields which could be used similarly to Gibbs distributions in a Bayesian framework for image analysis, leading to algorithms ideally designed for an implementation on massively parallel hardware. After a theoretical description of the model, we give an experimental illustration in the context of image restoration.</p>
Random fields, image processing, parallelism, Monte-Carlo sampling.
Laurent Younes, "Synchronous Random Fields and Image Restoration", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.20, no. 4, pp. 380-390, April 1998, doi:10.1109/34.677263
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