163views more  TIP 2010»
12 years 9 months ago
Fast Image Recovery Using Variable Splitting and Constrained Optimization
We propose a new fast algorithm for solving one of the standard formulations of image restoration and reconstruction which consists of an unconstrained optimization problem where t...
Manya V. Afonso, José M. Bioucas-Dias, M&aa...
128views more  TIP 2010»
13 years 1 months ago
Variational Bayesian Image Restoration With a Product of Spatially Weighted Total Variation Image Priors
—In this paper a new image prior is introduced and used in image restoration. This prior is based on products of spatially weighted Total Variations (TV). These spatial weights p...
Giannis K. Chantas, Nikolas P. Galatsanos, Rafael ...
158views more  SIAMSC 2010»
13 years 1 months ago
Solving Constrained Total-variation Image Restoration and Reconstruction Problems via Alternating Direction Methods
In this paper, we study alternating direction methods for solving constrained total-variation image restoration and reconstruction problems. Alternating direction methods can be im...
Michael K. Ng, Pierre Weiss, Xiaoming Yuan
154views more  TIP 2002»
13 years 2 months ago
Minimizing the total variation under a general convex constraint for image restoration
In this paper, we present a general framework for image restoration; despite its simplicity, certain variational and certain wavelet approaches can be formulated within this framew...
François Malgouyres
138views more  SIAMCO 2000»
13 years 2 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
165views more  JSCIC 2007»
13 years 2 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
139views more  TIP 2008»
13 years 2 months ago
Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation
In this paper, we propose novel algorithms for total variation (TV) based image restoration and parameter estimation utilizing variational distribution approximations. Within the h...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
115views more  PRL 2006»
13 years 2 months ago
A hybrid parallel projection approach to object-based image restoration
Approaches analyzing local characteristics of an image prevail in image restoration. However, they are less effective in cases of restoring images degraded by large size point spr...
Xin Fan, Hua Huang, Dequn Liang, Chun Qi
122views more  COMPUTING 2007»
13 years 2 months ago
Error estimation for Bregman iterations and inverse scale space methods in image restoration
In this paper we consider error estimation for image restoration problems based on generalized Bregman distances. This error estimation technique has been used to derive convergen...
Martin Burger, E. Resmerita, Lin He
13 years 2 months ago
Blind image deconvolution via dispersion minimization
In linear image restoration, the point spread function of the degrading system is assumed known even though this information is usually not available in real applications. As a re...
C. Vural, William A. Sethares