Luca Calatroni

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 55

Top Topics

Parameter Selection

Image Restoration

Fluorescence Microscopy

Image Segmentation

Top Venues

J. Math. Imaging Vis.

Publications

Marta Lazzaretti, Claudio Estatico, Alejandro Melero Carrillo, Luca Calatroni
Off-the-grid regularisation for Poisson inverse problems. CoRR (2024)
Luca Calatroni, Marco Donatelli, Serena Morigi, Marco Prato, Matteo Santacesaria
Guest Editorial JMIV Special Issue SSVM'23. J. Math. Imaging Vis. 66 (4) (2024)
Silvia Bonettini, Luca Calatroni, Danilo Pezzi, Marco Prato
Algorithmic unfolding for image reconstruction and localization problems in fluorescence microscopy. CoRR (2024)
Carlo Santambrogio, Monica Pragliola, Alessandro Lanza, Marco Donatelli, Luca Calatroni
Whiteness-based bilevel learning of regularization parameters in imaging. CoRR (2024)
Fabio Merizzi, Perrine Saillard, Oceane Acquier, Elena Morotti, Elena Loli Piccolomini, Luca Calatroni, Rosa Maria Dessì
Deep image prior inpainting of ancient frescoes in the Mediterranean Alpine arc. CoRR (2023)
Marta Lazzaretti, Zeljko Kereta, Claudio Estatico, Luca Calatroni
Stochastic Gradient Descent for Linear Inverse Problems in Variable Exponent Lebesgue Spaces. SSVM (2023)
Luca Calatroni, Serena Morigi, Simone Parisotto, Giuseppe Antonio Recupero
Fast and stable schemes for non-linear osmosis filtering. Comput. Math. Appl. 133 (2023)
Vasiliki Stergiopoulou, Subhadip Mukherjee, Luca Calatroni, Laure Blanc-Féraud
Fluctuation-based deconvolution in fluorescence microscopy using plug-and-play denoisers. CoRR (2023)
Vasiliki Stergiopoulou, Subhadip Mukherjee, Luca Calatroni, Laure Blanc-Féraud
Fluctuation-Based Deconvolution in Fluorescence Microscopy Using Plug-and-Play Denoisers. SSVM (2023)
Tatiana A. Bubba, Luca Calatroni, Ambra Catozzi, Serena Crisci, Thomas Pock, Monica Pragliola, Siiri Rautio, Danilo Riccio, Andrea Sebastiani
Bilevel learning of regularization models and their discretization for image deblurring and super-resolution. CoRR (2023)
Luca Calatroni, Martin Huska, Serena Morigi, Giuseppe Antonio Recupero
A Unified Surface Geometric Framework for Feature-Aware Denoising, Hole Filling and Context-Aware Completion. J. Math. Imaging Vis. 65 (1) (2023)
Alin Achim, Luca Calatroni, Serena Morigi, Gabriele Scrivanti
Space-variant image reconstruction via Cauchy regularisation: Application to Optical Coherence Tomography. Signal Process. 205 (2023)
Ilias Rentzeperis, Luca Calatroni, Laurent U. Perrinet, Dario Prandi
Beyond ℓ1 sparse coding in V1. PLoS Comput. Biol. 19 (9) (2023)
Marta Lazzaretti, Zeljko Kereta, Luca Calatroni, Claudio Estatico
Stochastic gradient descent for linear inverse problems in variable exponent Lebesgue spaces. CoRR (2023)
Elie Bretin, Luca Calatroni, Simon Masnou
A mobility-SAV approach for a Cahn-Hilliard equation with degenerate mobilities. CoRR (2023)
Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
On and Beyond Total Variation Regularization in Imaging: The Role of Space Variance. SIAM Rev. 65 (3) (2023)
Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
ADMM-Based Residual Whiteness Principle for Automatic Parameter Selection in Single Image Super-Resolution Problems. J. Math. Imaging Vis. 65 (1) (2023)
Vasiliki Stergiopoulou, Luca Calatroni, Sébastien Schaub, Laure Blanc-Féraud
3D Image Super-Resolution by Fluorophore Fluctuations and MA-TIRF Microscopy Reconstruction (3D-COL0RME). ISBI (2022)
Simone Rebegoldi, Luca Calatroni
Scaled, Inexact, and Adaptive Generalized FISTA for Strongly Convex Optimization. SIAM J. Optim. 32 (3) (2022)
Dario Mylonopoulos, Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini
Constrained and Unconstrained Inverse Potts Modelling for Joint Image Super-Resolution and Segmentation. Image Process. Line 12 (2022)
Marta Lazzaretti, Luca Calatroni, Claudio Estatico
Modular-Proximal Gradient Algorithms in Variable Exponent Lebesgue Spaces. SIAM J. Sci. Comput. 44 (6) (2022)
Luca Calatroni, Serena Morigi, Simone Parisotto, Giuseppe Antonio Recupero
Fast and stable schemes for non-linear osmosis filtering. CoRR (2022)
Marta Lazzaretti, Simone Rebegoldi, Luca Calatroni, Claudio Estatico
A Scaled and Adaptive FISTA Algorithm for Signal-Dependent Sparse Image Super-Resolution Problems. SSVM (2021)
Emre Baspinar, Luca Calatroni, Valentina Franceschi, Dario Prandi
A Cortical-Inspired Sub-Riemannian Model for Poggendorff-Type Visual Illusions. J. Imaging 7 (3) (2021)
Marta Lazzaretti, Luca Calatroni, Claudio Estatico
Weighted-Celo Sparse Regularisation For Molecule Localisation In Super-Resolution Microscopy With Poisson Data. ISBI (2021)
Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
Image Super-Resolution Problems. SSVM (2021)
Marcelo Bertalmío, Luca Calatroni, Valentina Franceschi, Benedetta Franceschiello, Dario Prandi
Cortical-Inspired Wilson-Cowan-Type Equations for Orientation-Dependent Contrast Perception Modelling. J. Math. Imaging Vis. 63 (2) (2021)
Simone Parisotto, Luca Calatroni, Claudia Daffara
Mathematical osmosis imaging for multi-modal and multi-spectral applications in Cultural Heritage conservation. CoRR (2021)
Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
On and beyond Total Variation regularisation in imaging: the role of space variance. CoRR (2021)
Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini
Efficient $\ell ^0$ Gradient-Based Super-Resolution for Simplified Image Segmentation. IEEE Trans. Computational Imaging 7 (2021)
Luca Calatroni, Simone Rebegoldi
A scaled, inexact and adaptive Fast Iterative Soft-Thresholding Algorithm for convex image restoration. ICCSA (Workshops) (2021)
Gabriele Scrivanti, Luca Calatroni, Serena Morigi, Lindsay Nicholson, Alin Achim
Non-Convex Super-Resolution Of Oct Images Via Sparse Representation. ISBI (2021)
Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
ADMM-based residual whiteness principle for automatic parameter selection in super-resolution problems. CoRR (2021)
Marta Lazzaretti, Luca Calatroni, Claudio Estatico
A continuous, non-convex & sparse super-resolution approach for fluorescence microscopy data with Poisson noise. ICCSA (Workshops) (2021)
Luca Calatroni, Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
Accelerated Iterative Regularization via Dual Diagonal Descent. SIAM J. Optim. 31 (1) (2021)
Marta Lazzaretti, Luca Calatroni, Claudio Estatico
Modular-proximal gradient algorithms in variable exponent Lebesgue spaces. CoRR (2021)
Vasiliki Stergiopoulou, José Henrique de Morais Goulart, Sébastien Schaub, Luca Calatroni, Laure Blanc-Féraud
COL0RME: Covariance-Based l0 Super-Resolution Microscopy with Intensity Estimation. ISBI (2021)
Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
image super-resolution problems. CoRR (2021)
Simone Parisotto, Luca Calatroni, Aurélie Bugeau, Nicolas Papadakis, Carola-Bibiane Schönlieb
Variational Osmosis for Non-Linear Image Fusion. IEEE Trans. Image Process. 29 (2020)
Emre Baspinar, Luca Calatroni, Valentina Franceschi, Dario Prandi
A cortical-inspired sub-Riemannian model for Poggendorff-type visual illusions. CoRR (2020)
Marta Lazzaretti, Luca Calatroni, Claudio Estatico
Weighted-CEL0 sparse regularisation for molecule localisation in super-resolution microscopy with Poisson data. CoRR (2020)
Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini
On the inverse Potts functional for single-image super-resolution problems. CoRR (2020)
Gabriele Scrivanti, Luca Calatroni, Serena Morigi, Lindsay Nicholson, Alin Achim
Non-convex Super-resolution of OCT images via sparse representation. CoRR (2020)
Luca Calatroni, Antonin Chambolle
Backtracking Strategies for Accelerated Descent Methods with Smooth Composite Objectives. SIAM J. Optim. 29 (3) (2019)
Luca Calatroni, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari
Space-adaptive anisotropic bivariate Laplacian regularization for image restoration. CoRR (2019)
Luca Calatroni, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari
A Flexible Space-Variant Anisotropic Regularization for Image Restoration with Automated Parameter Selection. SIAM J. Imaging Sci. 12 (2) (2019)
Simone Parisotto, Luca Calatroni, Aurélie Bugeau, Nicolas Papadakis, Carola-Bibiane Schönlieb
Variational Osmosis for Non-linear Image Fusion. CoRR (2019)
Marcelo Bertalmío, Luca Calatroni, Valentina Franceschi, Benedetta Franceschiello, Dario Prandi
A Cortical-Inspired Model for Orientation-Dependent Contrast Perception: A Link with Wilson-Cowan Equations. SSVM (2019)
Marcelo Bertalmío, Luca Calatroni, Valentina Franceschi, Benedetta Franceschiello, Dario Prandi
Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling. CoRR (2019)
Simone Parisotto, Luca Calatroni, Claudia Daffara
Digital Cultural Heritage Imaging via Osmosis Filtering. ICISP (2018)
Marcelo Bertalmío, Luca Calatroni, Valentina Franceschi, Benedetta Franceschiello, Dario Prandi
A cortical-inspired model for orientation-dependent contrast perception: a link with Wilson-Cowan equations. CoRR (2018)
Luca Calatroni, Marie d'Autume, Rob Hocking, Stella Panayotova, Simone Parisotto, Paola Ricciardi, Carola-Bibiane Schönlieb
Unveiling the invisible - mathematical methods for restoring and interpreting illuminated manuscripts. CoRR (2018)
Luca Calatroni, Juan Carlos de los Reyes, Carola-Bibiane Schönlieb
Infimal Convolution of Data Discrepancies for Mixed Noise Removal. SIAM J. Imaging Sci. 10 (3) (2017)
Luca Calatroni, Yves van Gennip, Carola-Bibiane Schönlieb, Hannah M. Rowland, Arjuna Flenner
Graph Clustering, Variational Image Segmentation Methods and Hough Transform Scale Detection for Object Measurement in Images. J. Math. Imaging Vis. 57 (2) (2017)
Luca Calatroni, Yves van Gennip, Carola-Bibiane Schönlieb, Hannah M. Rowland, Arjuna Flenner
Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images. CoRR (2016)
Luca Calatroni, Cao Chung, Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen
Bilevel approaches for learning of variational imaging models. CoRR (2015)
Martin Benning, Luca Calatroni, Bertram Düring, Carola-Bibiane Schönlieb
A Primal-Dual Approach for a Total Variation Wasserstein Flow. GSI (2013)
Luca Calatroni, Juan Carlos de los Reyes, Carola-Bibiane Schönlieb
Dynamic Sampling Schemes for Optimal Noise Learning Under Multiple Nonsmooth Constraints. System Modelling and Optimization (2013)