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Synchronous Random Fields and Image Restoration
April 1998 (vol. 20 no. 4)
pp. 380-390

Abstract—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.

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Index Terms:
Random fields, image processing, parallelism, Monte-Carlo sampling.
Citation:
Laurent Younes, "Synchronous Random Fields and Image Restoration," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 4, pp. 380-390, April 1998, doi:10.1109/34.677263
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