Sciweavers

ICCV
2011
IEEE
12 years 4 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
IJON
2002
138views more  IJON 2002»
13 years 4 months ago
Blind deconvolution using temporal predictability
A measure of temporal predictability is de
James V. Stone
TIP
2008
109views more  TIP 2008»
13 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
ICONIP
2007
13 years 6 months ago
Blind Deconvolution of MIMO-IIR Systems: A Two-Stage EVA
This paper deals with a blind deconvolution (DB) problem for multiple-input multiple-output infinite impulse response (MIMO-IIR) systems. To solve this problem, we propose an eige...
Mitsuru Kawamoto, Yujiro Inouye, Kiyotaka Kohno
ICIP
2005
IEEE
13 years 10 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
ICIP
2008
IEEE
13 years 11 months ago
Blind deconvolution of video sequences
We present a new blind deconvolution method for video sequence. It is derived following an inverse problem approach in a Bayesian framework. This method exploits the temporal cont...
Ferreol Soulez, Eric Thiebaut, Yves Tourneur, Alai...
IDA
2009
Springer
13 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...
ICIP
2006
IEEE
14 years 6 months ago
Image Tampering Identification using Blind Deconvolution
Digital images have been used in growing number of applications from law enforcement and surveillance, to medical diagnosis and consumer photography. With such widespread populari...
Ashwin Swaminathan, Min Wu, K. J. Ray Liu