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» Progressive Blind Deconvolution
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ICIP
2005
IEEE
14 years 2 months ago
A regularization framework for joint blur estimation and super-resolution of video sequences
In traditional digital image restoration, the blurring process of the optic is assumed known. Many previous research efforts have been trying to reconstruct the degraded image or ...
Hu He, Lisimachos P. Kondi
TSP
2008
110views more  TSP 2008»
13 years 8 months ago
Blind Deconvolution of DS-CDMA Signals by Means of Decomposition in Rank-(1, L, L) Terms
In this paper, we present a powerful technique for the blind extraction of direct-sequence code-division multiple access (DS-CDMA) signals from convolutive mixtures received by an ...
Lieven De Lathauwer, Alexandre de Baynast
ICA
2007
Springer
14 years 2 months ago
Signal Separation by Integrating Adaptive Beamforming with Blind Deconvolution
In this paper, we present a broadband two-microphone blind spatial separation technique by efficiently combining adaptive beamforming (ABF) with multichannel blind deconvolution (M...
Kostas Kokkinakis, Philipos C. Loizou
CVPR
2011
IEEE
13 years 3 months ago
Blind Deconvolution Using A Normalized Sparsity Measure
Blind image deconvolution is an ill-posed problem that requires regularization to solve. However, many common forms of image prior used in this setting have a major drawback in th...
Dilip Krishnan, Rob Fergus
ICA
2004
Springer
14 years 1 months ago
Blind Deconvolution Using the Relative Newton Method
We propose a relative optimization framework for quasi maximum likelihood blind deconvolution and the relative Newton method as its particular instance. Special Hessian structure a...
Alexander M. Bronstein, Michael M. Bronstein, Mich...