Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Landi, Germana"'
This study examines, in the framework of variational regularization methods, a multi-penalty regularization approach which builds upon the Uniform PENalty (UPEN) method, previously proposed by the authors for Nuclear Magnetic Resonance (NMR) data pro
Externí odkaz:
http://arxiv.org/abs/2309.14163
Autor:
Landi, Germana, Spinelli, Giovanni V., Zama, Fabiana, Martino, Delia Chillura, Conte, Pellegrino, Meo, Paolo Lo, Bortolotti, Villiam
Fast Field-Cycling Nuclear Magnetic Resonance relaxometry is a non-destructive technique to investigate molecular dynamics and structure of systems having a wide range of applications such as environment, biology, and food. Besides a considerable amo
Externí odkaz:
http://arxiv.org/abs/2208.04413
Autor:
Bortolotti, Villiam, Brizi, Leonardo, Landi, Germana, Nagmutdinova, Anastasiia, Zama, Fabiana
Accurate and efficient analysis of materials properties from Nuclear Magnetic Resonance (NMR) relaxation data requires robust and efficient inversion procedures. Despite the great variety of applications requiring to process two-dimensional NMR data
Externí odkaz:
http://arxiv.org/abs/2201.06504
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 example, in microscopy or computed tomography for carbon or glass fibres.
Externí odkaz:
http://arxiv.org/abs/2105.00106
TGV-based restoration of Poissonian images with automatic estimation of the regularization parameter
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 for its solution. The effectiveness of such techniques depends on the v
Externí odkaz:
http://arxiv.org/abs/2104.14452
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 regularization parameters for fast and accurate inversion of 2DNMR da
Externí odkaz:
http://arxiv.org/abs/2007.01268
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 the sum of a generalized Kullback-Leibler divergence term and a TV reg
Externí odkaz:
http://arxiv.org/abs/1807.10832
Publikováno v:
In Applied Mathematics and Computation 1 January 2020 364
Autor:
Bortolotti, Villiam, Conte, Pellegrino, Landi, Germana, Lo Meo, Paolo, Nagmutdinova, Anastasiia, Spinelli, Giovanni Vito, Zama, Fabiana
Publikováno v:
Computers (2073-431X); Jun2024, Vol. 13 Issue 6, p129, 14p
Publikováno v:
Journal of Imaging; Nov2023, Vol. 9 Issue 11, p249, 14p