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» Progressive Blind Deconvolution
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IJON
2002
138views more  IJON 2002»
13 years 8 months ago
Blind deconvolution using temporal predictability
A measure of temporal predictability is de
James V. Stone
ICCV
2011
IEEE
12 years 8 months ago
Handling Outliers in Non-Blind Image Deconvolution
Non-blind deconvolution is a key component in image deblurring systems. Previous deconvolution methods assume a linear blur model where the blurred image is generated by a linear ...
Sunghyun Cho, Jue Wang, Seungyong Lee
TIP
2008
109views more  TIP 2008»
13 years 8 months ago
A Wavelet-Laplace Variational Technique for Image Deconvolution and Inpainting
Abstract--We construct a new variational method for blind deconvolution of images and inpainting, motivated by recent PDE-based techniques involving the Ginzburg-Landau functional,...
Julia A. Dobrosotskaya, Andrea L. Bertozzi
IDA
2009
Springer
14 years 3 months ago
Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures
We propose a probabilistic model for the Independent Vector Analysis approach to blind deconvolution and derive an asymptotic Newton method to estimate the model by Maximum Likelih...
Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Mak...
PIMRC
2008
IEEE
14 years 2 months ago
Free deconvolution for OFDM multicell SNR detection
—In this paper, a new blind OFDM multicell detection method is proposed to determine the number of base stations in a cellular system. Using recent results of free deconvolution,...
Romain Couillet, Mérouane Debbah