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» Sampling and Reconstruction of Operators
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ICASSP
2009
IEEE
13 years 11 months ago
Multidimensional signal reconstruction from multichannel acquisition
We provide an analysis of the algorithms necessary for the optimal use of multidimensional signal reconstruction from multichannel acquisition. Firstly, we provide computable cond...
Ka Lung Law, Robert M. Fossum, Minh N. Do
CORR
2008
Springer
129views Education» more  CORR 2008»
13 years 7 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...
MICCAI
2009
Springer
14 years 8 months ago
Evaluation of q-Space Sampling Strategies for the Diffusion Magnetic Resonance Imaging
We address the problem of efficient sampling of the diffusion space for the Diffusion Magnetic Resonance Imaging (dMRI) modality. While recent scanner improvements enable the acqui...
Haz-Edine Assemlal, David Tschumperlé, Luc ...
ICIP
2000
IEEE
14 years 9 months ago
A Spectral Analysis for Light Field Rendering
Image based rendering using the plenoptic function is an efficient technique for re-rendering at different viewpoints. In this paper, we study the sampling and reconstruction prob...
Shing-Chow Chan, Heung-Yeung Shum
APPROX
2008
Springer
119views Algorithms» more  APPROX 2008»
13 years 9 months ago
The Complexity of Distinguishing Markov Random Fields
Abstract. Markov random fields are often used to model high dimensional distributions in a number of applied areas. A number of recent papers have studied the problem of reconstruc...
Andrej Bogdanov, Elchanan Mossel, Salil P. Vadhan