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» Non-linear Bayesian Image Modelling
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NIPS
2008
13 years 9 months ago
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
We show how improved sequences for magnetic resonance imaging can be found through optimization of Bayesian design scores. Combining approximate Bayesian inference and natural ima...
Matthias W. Seeger, Hannes Nickisch, Rolf Pohmann,...
ICIP
2006
IEEE
14 years 9 months ago
Parameter Estimation in Bayesian Reconstruction of Multispectral Images using Super Resolution Techniques
In this paper we present a new super resolution Bayesian method for pansharpening of multispectral images which: a) incorporates prior knowledge on the expected characteristics of...
Rafael Molina, Miguel Vega, Javier Mateos, Aggelos...
ICIP
2003
IEEE
14 years 9 months ago
Unsupervised Bayesian image segmentation using wavelet-domain hidden Markov models
In this paper, we study unsupervised image segmentation using wavelet-domain hidden Markov models (HMMs). We first review recent supervised Bayesian image segmentation algorithms ...
X. Song, G. Fan
CAI
1998
Springer
13 years 7 months ago
Information Retrieval, Imaging and Probabilistic Logic
Abstract. Imaging is a class of non-Bayesian methods for the revision of probability density functions originally proposed as a semantics for conditional logic. Two of these revisi...
Fabrizio Sebastiani
IBPRIA
2003
Springer
14 years 25 days ago
Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images
Abstract. This paper deals with the problem of reconstructing a highresolution image from an incomplete set of undersampled, blurred and noisy images shifted with subpixel displace...
Javier Mateos, Miguel Vega, Rafael Molina, Aggelos...