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ICIP
2010
IEEE
13 years 9 months ago
Instrument parameter estimation in bayesian convex deconvolution
This paper proposes a Bayesian approach for estimation of instrument parameter in convex image deconvolution. The parameters of the instrument response (PSF) are jointly estimated...
François Orieux, Thomas Rodet, Jean-Fran&cc...
ICPR
2000
IEEE
15 years 2 days ago
Estimation of Adaptive Parameters for Satellite Image Deconvolution
The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a priori model of the recon...
André Jalobeanu, Josiane Zerubia, Laure Bla...
TIP
2008
111views more  TIP 2008»
13 years 11 months ago
Unsupervised Bayesian Convex Deconvolution Based on a Field With an Explicit Partition Function
This paper proposes a non-Gaussian Markov field with a special feature: an explicit partition function. To the best of our knowledge, this is an original contribution. Moreover, th...
Jean-François Giovannelli
NIPS
2004
14 years 11 days ago
Bayesian Regularization and Nonnegative Deconvolution for Time Delay Estimation
Bayesian Regularization and Nonnegative Deconvolution (BRAND) is proposed for estimating time delays of acoustic signals in reverberant environments. Sparsity of the nonnegative f...
Yuanqing Lin, Daniel D. Lee
IJON
2002
98views more  IJON 2002»
13 years 10 months ago
Blind deconvolution by simple adaptive activation function neuron
The `Bussgang' algorithm is one among the most known blind deconvolution techniques in the adaptive signal processing literature. It relies on a Bayesian estimator of the sou...
Simone Fiori