(Enter summary)
Abstract: The association of statistical models and multiresolution
data analysis in a consistent and tractable mathematical
framework remains an intricate theoretical and
practical issue. Several consistent approaches have been
proposed recently to combine Markov Random Field (MRF)
models and multiresolution algorithms in image analysis:
renormalization group, subsampling of stochastic processes,
MRF's defined on trees or pyramids, etc. For the simulation
or a practical use of these models in... (Update)
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BibTeX entry: (Update)
P. Perez and F. Heitz, "Restriction of a Markov random field on a graph and multiresolution statistical image modeling", IEEE Trans. Inform. Theory, vol. 42, pp. 180--190, January 1996. http://citeseer.ist.psu.edu/article/perez96restriction.html More
@misc{ perez96restriction,
author = "P. Perez and F. Heitz",
title = "Restriction of a Markov random field on a graph and multiresolution statistical
image modeling",
text = "P. Perez and F. Heitz, Restriction of a Markov random field on a graph
and multiresolution statistical image modeling, IEEE Trans. Inform. Theory,
vol. 42, pp. 180--190, January 1996.",
year = "1996",
url = "citeseer.ist.psu.edu/article/perez96restriction.html" }
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