Feb 17, 2012 · Referring to (1.1), our image restoration model with total generalized variation and local constraints is defined as. (3.4) minimize TGV2 α(u) ...
In this paper, the automated spatially dependent regularization parameter selection framework for multi-scale image restoration is applied to total generalized ...
In this paper, the automated spatially dependent regularization parameter selection framework for multi-scale image restoration is applied to total generalized ...
In this paper, the automated spatially dependent regularization parameter selection framework for multi-scale image restoration is applied to total ...
Abstract: Multi-scale total (generalized) variation models for image restoration are introduced. The models utilize a spatially dependent regularization ...
Mar 30, 2016 · First- and second-order optimality conditions for the bilevel problem are studied, when the spatially-dependent parameter belongs to the Sobolev ...
Missing: generalized | Show results with:generalized
The method exploits the generalized cross-validation (GCV) technique to determine inexpensively how much regularization to use in each restoration step. By ...
Bredies K, Dong Y and Hintermüller M 2013 Spatially dependent regularization parameter selection in total generalized variation models for image restoration Int ...
We consider a bilevel optimization approach in function space for the choice of spatially dependent regularization parameters in TV image restoration models ...
Abstract. A general total variation regularization based model for gray-scale and color image restoration is introduced. The model contains an Lτ -data ...