3 citations · 3 across the 2 of their papers we have counts for
4 papers
Directional TGV-based image restoration under Poisson noise
Daniela di Serafino, Germana Landi, Marco Viola
We are interested in the restoration of noisy and blurry images where the texture mainly follows a single direction (i.e., directional images). Problems of this type arise, for exa…
TGV-based restoration of Poissonian images with automatic estimation of the regularization parameter
Daniela di Serafino, Germana Landi, Marco Viola
The problem of restoring images corrupted by Poisson noise is common in many application fields and, because of its intrinsic ill posedness, it requires regularization techniques f…
2DNMR data inversion using locally adapted multi-penalty regularization
Villiam Bortolotti, Germana Landi, Fabiana Zama
A crucial issue in two-dimensional Nuclear Magnetic Resonance (NMR) is the speed and accuracy of the data inversion. This paper proposes a multi-penalty method with locally adapted…
ACQUIRE: an inexact iteratively reweighted norm approach for TV-based Poisson image restoration
Daniela di Serafino, Germana Landi, Marco Viola
We propose a method, called ACQUIRE, for the solution of constrained optimization problems modeling the restoration of images corrupted by Poisson noise. The objective function is…