Sciweavers

79 search results - page 3 / 16
» Progressive Blind Deconvolution
Sort
View
139
Voted
IJON
2002
138views more  IJON 2002»
15 years 4 months ago
Blind deconvolution using temporal predictability
A measure of temporal predictability is de
James V. Stone
152
Voted
ICCV
2011
IEEE
14 years 5 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
134
Voted
TIP
2008
109views more  TIP 2008»
15 years 4 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
171
Voted
IDA
2009
Springer
15 years 11 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...
130
Voted
PIMRC
2008
IEEE
15 years 11 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