Bayesian multiscale analysis of images modeled as Gaussian Markov random fields

Kevin Thon, Håvard Rue, Stein Olav Skrøvseth and Fred Godtliebsen

Computational Statistics & Data Analysis, 2012, vol. 56, issue 1, 49-61

Abstract: A Bayesian multiscale technique for the detection of statistically significant features in noisy images is proposed. The prior is defined as a stationary intrinsic Gaussian Markov random field on a toroidal graph, which enables efficient computation of the relevant posterior marginals. Hence the method is applicable to large images produced by modern digital cameras. The technique is demonstrated in two examples from medical imaging.

Keywords: Scale; space; Multi-resolution; analysis; Bayesian; analysis; Gaussian; Markov; random; fields (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (3)

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