Abstract
Image restoration is one of the wide variety of branches in image analysis. In recent work, the Bayesian approach to the restoration has attracted interest and much of this work involves the use of statistical modeling for images assuming Markov random fields (MRF), the stochastic technique based on Monte Carlo methods and maximum a posteriori (MAP) estimation.
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© 2002 Springer-Verlag Berlin Heidelberg
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Nittono, K., Kamakura, T. (2002). On the Use of Particle Filters for Bayesian Image Restoration. In: Härdle, W., Rönz, B. (eds) Compstat. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57489-4_72
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DOI: https://doi.org/10.1007/978-3-642-57489-4_72
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1517-7
Online ISBN: 978-3-642-57489-4
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