Stefano Aleotti
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View article: A Preconditioned Version of a Nested Primal-Dual Algorithm for Image Deblurring
A Preconditioned Version of a Nested Primal-Dual Algorithm for Image Deblurring Open
Variational models for image deblurring problems typically consist of a smooth term and a potentially non-smooth convex term. A common approach to solving these problems is using proximal gradient methods. To accelerate the convergence of …
View article: A Data-Dependent Regularization Method Based on the Graph Laplacian
A Data-Dependent Regularization Method Based on the Graph Laplacian Open
We investigate a variational method for ill-posed problems, named graphLa+Psi, which embeds a graph Laplacian operator in the regularization term. The novelty of this method lies in constructing the graph Laplacian based on a preliminary a…
View article: A nested primal–dual iterated Tikhonov method for regularized convex optimization
A nested primal–dual iterated Tikhonov method for regularized convex optimization Open
Proximal–gradient methods are widely employed tools in imaging that can be accelerated by adopting variable metrics and/or extrapolation steps. One crucial issue is the inexact computation of the proximal operator, often implemented throug…
View article: A Preconditioned Version of a Nested Primal-Dual Algorithm for Image Deblurring
A Preconditioned Version of a Nested Primal-Dual Algorithm for Image Deblurring Open
Variational models for image deblurring problems typically consist of a smooth term and a potentially non-smooth convex term. A common approach to solving these problems is using proximal gradient methods. To accelerate the convergence of …
View article: A data-dependent regularization method based on the graph Laplacian
A data-dependent regularization method based on the graph Laplacian Open
We investigate a variational method for ill-posed problems, named $\texttt{graphLa+}Ψ$, which embeds a graph Laplacian operator in the regularization term. The novelty of this method lies in constructing the graph Laplacian based on a prel…