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ICASSP
2011
IEEE
12 years 11 months ago
A new variational method for preserving point-like and curve-like singularities in 2-D images
We propose a new variational method to restore point-like and curvelike singularities in 2-D images. As points and open curves are fine structures, they are difficult to restore...
Daniele Graziani, Laure Blanc-Féraud, Gille...
JSCIC
2007
165views more  JSCIC 2007»
13 years 7 months ago
A Nonlinear Multigrid Method for Total Variation Minimization from Image Restoration
Image restoration has been an active research topic and variational formulations are particularly effective in high quality recovery. Although there exist many modelling and theore...
Ke Chen 0002, Xue-Cheng Tai
ICIP
2005
IEEE
14 years 1 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
SIAMCO
2000
138views more  SIAMCO 2000»
13 years 7 months ago
Adaptive Image Reconstruction Using Information Measures
We present a class of nonlinear adaptive image restoration filters which may be steered to preserve sharp edges and contrasts in the restorations. From a theoretical point of view ...
Ulrike Hermann, Dominikus Noll
ICIP
2003
IEEE
14 years 9 months ago
A variational method for Bayesian blind image deconvolution
In this paper the blind image deconvolution (BID) problem is solved using the Bayesian framework. In order to find the parameters of the proposed Bayesian model we present a new g...
Aristidis Likas, Nikolas P. Galatsanos