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» A variational method for Bayesian blind image deconvolution
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95
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ICIP
2006
IEEE
16 years 1 months ago
Joint Dimensionality Reduction, Classification and Segmentation of Hyperspectral Images
Dimensionality reduction, spectral classification and segmentation are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation appr...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
70
Voted
ICML
2005
IEEE
16 years 13 days ago
Variational Bayesian image modelling
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
Li Cheng, Feng Jiao, Dale Schuurmans, Shaojun Wang
ICANN
2010
Springer
15 years 21 days ago
Variational Bayesian Image Super-Resolution with GPU Acceleration
With the term super-resolution we refer to the problem of reconstructing an image of higher resolution than that of unregistered and degraded observations. Typically, the reconstru...
Giannis K. Chantas
ICIP
2005
IEEE
16 years 1 months ago
A multichannel approach to metric-based SAR autofocus
The autofocus problem in synthetic aperture radar (SAR) is considered. We precisely characterize the multichannel nature of the SAR autofocus problem by constructing a low-dimensi...
Robert L. Morrison Jr., Minh N. Do
ICIP
2009
IEEE
14 years 9 months ago
Total variation projection with first order schemes
This article proposes a new algorithm to compute the projection on the set of images whose total variation is bounded by a constant. The projection is computed through a dual form...
Mohamed-Jalal Fadili, Gabriel Peyré