9 citations · 15 across the 4 of their papers we have counts for
4 papers
Stochastic gradient descent for linear inverse problems in variable exponent Lebesgue spaces
Marta Lazzaretti, Zeljko Kereta, Luca Calatroni +1
We consider a stochastic gradient descent (SGD) algorithm for solving linear inverse problems (e.g., CT image reconstruction) in the Banach space framework of variable exponent Leb…
Modular-proximal gradient algorithms in variable exponent Lebesgue spaces
Marta Lazzaretti, Luca Calatroni, Claudio Estatico
We consider structured optimisation problems defined in terms of the sum of a smooth and convex function, and a proper, l.s.c., convex (typically non-smooth) one in reflexive varia…
Weighted-CEL0 sparse regularisation for molecule localisation in super-resolution microscopy with Poisson data
Marta Lazzaretti, Luca Calatroni, Claudio Estatico
We propose a continuous non-convex variational model for Single Molecule Localisation Microscopy (SMLM) super-resolution in order to overcome light diffraction barriers. Namely, we…
Alternating Direction Implicit (ADI) schemes for a PDE-based image osmosis model
Luca Calatroni, Claudio Estatico, Nicola Garibaldi +1
We consider \emph{Alternating Direction Implicit} (ADI) splitting schemes to compute efficiently the numerical solution of the PDE osmosis model considered by Weickert et al. for s…