Bayesian multiscale analysis of images modeled as Gaussian Markov random fields

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.

MoreLess

Year of publication:	2012
Authors:	Thon, Kevin ; Rue, Håvard ; Skrøvseth, Stein Olav ; Godtliebsen, Fred
Published in:	Computational Statistics & Data Analysis. - Elsevier, ISSN 0167-9473. - Vol. 56.2012, 1, p. 49-61
Publisher:	Elsevier
Keywords:	Scale space Multi-resolution analysis Bayesian analysis Gaussian Markov random fields

More details

Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10009274853