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» Bayesian sparse image reconstruction for MRFM
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CORR
2008
Springer
129views Education» more  CORR 2008»
13 years 4 months ago
Hierarchical Bayesian sparse image reconstruction with application to MRFM
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...
ICASSP
2009
IEEE
13 years 11 months ago
Bayesian sparse image reconstruction for MRFM
In this paper, we propose a Bayesian model and a Monte Carlo Markov chain (MCMC) algorithm for reconstructing images that consist of only few non-zero pixels. An appropriate distr...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...
ICASSP
2008
IEEE
13 years 11 months ago
Blind deconvolution for sparse molecular imaging
This paper considers the image reconstruction problem when the original image is assumed to be sparse and when limited information of the point spread function (PSF) is available....
Kyle Herrity, Raviv Raich, Alfred O. Hero
CIMAGING
2008
172views Hardware» more  CIMAGING 2008»
13 years 6 months ago
Blind reconstruction of sparse images with unknown point spread function
We consider the image reconstruction problem when the original image is assumed to be sparse and when partial knowledge of the point spread function (PSF) is available. In particu...
Kyle Herrity, Raviv Raich, Alfred O. Hero III
ICIP
2006
IEEE
14 years 6 months ago
Sparse Image Reconstruction using Sparse Priors
Sparse image reconstruction is of interest in the fields of radioastronomy and molecular imaging. The observation is assumed to be a linear transformation of the image, and corrup...
Michael Ting, Raviv Raich, Alfred O. Hero