Luca Calatroni
Luca Calatroni
CNRS, I3S, Sophia-Antipolis, France
Email verificata su i3s.unice.fr - Home page
Titolo
Citata da
Citata da
Anno
Global solution to the Allen–Cahn equation with singular potentials and dynamic boundary conditions
L Calatroni, P Colli
Nonlinear Analysis: Theory, Methods & Applications 79, 12-27, 2013
542013
Bilevel approaches for learning of variational imaging models
L Calatroni, C Cao, JC De Los Reyes, CB Schönlieb, T Valkonen
Variational Methods: In Imaging and Geometric Control 18 (252), 2, 2017
382017
Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images
L Calatroni, Y van Gennip, CB Schönlieb, HM Rowland, A Flenner
Journal of Mathematical Imaging and Vision 57 (2), 269-291, 2017
212017
Infimal convolution of data discrepancies for mixed noise removal
L Calatroni, JC De Los Reyes, CB Schönlieb
SIAM Journal on Imaging Sciences 10 (3), 1196-1233, 2017
202017
Dynamic sampling schemes for optimal noise learning under multiple nonsmooth constraints
L Calatroni, JC De Los Reyes, CB Schönlieb
IFIP Conference on System Modeling and Optimization, 85-95, 2013
152013
ADI splitting schemes for a fourth-order nonlinear partial differential equation from image processing
L Calatroni, B Düring, CB Schönlieb
Discrete and Continuous Dynamical Systems, Series A 34 (3), 931-957, 2013
112013
Backtracking strategies for accelerated descent methods with smooth composite objectives
L Calatroni, A Chambolle
SIAM Journal on Optimization 29 (3), 1772–1798, 2017
82017
A primal-dual approach for a total variation Wasserstein flow
M Benning, L Calatroni, B Düring, CB Schönlieb
International Conference on Geometric Science of Information, 413-421, 2013
72013
Space-adaptive anisotropic bivariate Laplacian regularization for image restoration
L Calatroni, A Lanza, M Pragliola, F Sgallari
arXiv preprint arXiv:1908.00801, 2019
6*2019
Alternating Direction Implicit (ADI) schemes for a PDE-based image osmosis model
L Calatroni, C Estatico, N Garibaldi, S Parisotto
Journal of Physics: Conference Series 904 (1), 012014, 2017
52017
A cortical-inspired model for orientation-dependent contrast perception: a link with Wilson-Cowan equations
M Bertalmío, L Calatroni, V Franceschi, B Franceschiello, D Prandi
International Conference on Scale Space and Variational Methods in Computer …, 2019
42019
A flexible space-variant anisotropic regularization for image restoration with automated parameter selection
L Calatroni, A Lanza, M Pragliola, F Sgallari
SIAM Journal on Imaging Sciences 12 (2), 1001-1037, 2019
42019
Analysis and automatic parameter selection of a variational model for mixed Gaussian and salt-and-pepper noise removal
L Calatroni, K Papafitsoros
Inverse Problems 35 (11), 114001, 2019
32019
Adaptive parameter selection for weighted-TV image reconstruction problems
L Calatroni, A Lanza, M Pragliola, F Sgallari
arXiv preprint arXiv:1905.11264, 2019
32019
Anisotropic osmosis filtering for shadow removal in images
S Parisotto, L Calatroni, M Caliari, CB Schönlieb, J Weickert
Inverse Problems 35 (5), 054001, 2019
32019
Digital Cultural Heritage imaging via osmosis filtering
S Parisotto, L Calatroni, C Daffara
ICISP 2018 10884 (Lecture Notes on Computer Science), 407-415, 2018
32018
Visual illusions via neural dynamics: Wilson–Cowan-type models and the efficient representation principle
M Bertalmío, L Calatroni, V Franceschi, B Franceschiello, A Gomez Villa, ...
Journal of neurophysiology 123 (5), 1606-1618, 2020
22020
Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling
M Bertalmio, L Calatroni, V Franceschi, B Franceschiello, D Prandi
arXiv preprint arXiv:1910.06808, 2019
22019
Unveiling the invisible: mathematical methods for restoring and interpreting illuminated manuscripts
L Calatroni, M d’Autume, R Hocking, S Panayotova, S Parisotto, ...
Heritage Science 6 (56), 2018
22018
New PDE models for imaging problems and applications
L Calatroni
University of Cambridge, 2016
22016
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20