Luca Calatroni

78 papers C 1Journal 55Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Comparative Study of MAP and LMMSE Estimators for Blind Inverse Problems. CoRR Nathan Buskulic, Luca Calatroni
2025	J	`jnl`	A non-smooth regularization framework for learning over multitask graphs. CoRR Yara Zgheib, Luca Calatroni, Marc Antonini, Roula Nassif
2025	—	`conf`	Box-Constrained $\ell_{0}$ Bregman Relaxations. EUSIPCO M'hamed Essafri, Luca Calatroni, Emmanuel Soubies
2025	J	`jnl`	Deep Equilibrium models for Poisson Imaging Inverse problems via Mirror Descent. CoRR Christian Daniele, Silvia Villa, Samuel Vaiter, Luca Calatroni
2025	J	`jnl`	Exact continuous relaxations of ℓ J. Glob. Optim. M'hamed Essafri, Luca Calatroni, Emmanuel Soubies
2025	—	`conf`	Learning Spatially Adaptive $\ell_{1}$-Norms Weights for Convolutional Synthesis Regularization. EUSIPCO Andreas Kofler, Luca Calatroni, Christoph Kolbitsch, Kostas Papafitsoros
2025	J	`jnl`	Learning Spatially Adaptive ℓ CoRR Andreas Kofler, Luca Calatroni, Christoph Kolbitsch, Kostas Papafitsoros
2025	—	`conf`	Noise2noise Image Reconstruction of Lifetime Maps in Halide Perovskite Thin Films. EUSIPCO Gabriele Scrivanti, Luca Calatroni, Stefania Cacovich
2025	J	`jnl`	Off-the-grid regularisation for Poisson inverse problems. Comput. Optim. Appl. Marta Lazzaretti, Claudio Estatico, Alejandro Melero Carrillo, Luca Calatroni
2025	J	`jnl`	On the Sample Complexity of Learning for Blind Inverse Problems. CoRR Nathan Buskulic, Luca Calatroni, Lorenzo Rosasco, Silvia Villa
2025	—	`conf`	Patch-Based Learning of Adaptive Total Variation Parameter Maps for Blind Image Denoising. EUSIPCO Claudio Fantasia, Luca Calatroni, Xavier Descombes, Rim Rekik
2025	J	`jnl`	Patch-based learning of adaptive Total Variation parameter maps for blind image denoising. CoRR Claudio Fantasia, Luca Calatroni, Xavier Descombes, Rim Rekik
2025	J	`jnl`	Variational Image Regularisation in the Era of Deep Learning: From Model-Based to Deep Priors and Back. J. Math. Imaging Vis. Alessandro Benfenati, Luca Calatroni, Pasquale Cascarano, Nelly Pustelnik, Audrey Repetti, Yu Sun
2025	—	`conf`	Whiteness-Based Bilevel Estimation of Weighted TV Parameter Maps for Image Denoising. SSVM (1) Monica Pragliola, Luca Calatroni, Alessandro Lanza
2025	J	`jnl`	Whiteness-based bilevel estimation of weighted TV parameter maps for image denoising. CoRR Monica Pragliola, Luca Calatroni, Alessandro Lanza
2024	J	`jnl`	Algorithmic unfolding for image reconstruction and localization problems in fluorescence microscopy. CoRR Silvia Bonettini, Luca Calatroni, Danilo Pezzi, Marco Prato
2024	J	`jnl`	Guest Editorial JMIV Special Issue SSVM'23. J. Math. Imaging Vis. Luca Calatroni, Marco Donatelli, Serena Morigi, Marco Prato, Matteo Santacesaria
2024	J	`jnl`	Off-the-grid regularisation for Poisson inverse problems. CoRR Marta Lazzaretti, Claudio Estatico, Alejandro Melero Carrillo, Luca Calatroni
2024	—	`conf`	On $\ell_{0}$ Bregman-Relaxations for Kullback-Leibler Sparse Regressionx. MLSP M'hamed Essafri, Luca Calatroni, Emmanuel Soubies
2024	J	`jnl`	Parameter-Free FISTA by Adaptive Restart and Backtracking. SIAM J. Optim. Jean-François Aujol, Luca Calatroni, Charles Dossal, Hippolyte Labarrière, Aude Rondepierre
2024	—	`conf`	Physics-Inspired Generative Adversarial Modelling for Fluctuation-Based Super-Resolution Microscopy. ISBI Hamza Mentagui, Luca Calatroni, Sébastien Schaub, Laure Blanc-Féraud
2024	—	`conf`	Whiteness-Based Bilevel Learning of Regularization Parameters in Imaging. EUSIPCO Carlo Santambrogio, Monica Pragliola, Alessandro Lanza, Marco Donatelli, Luca Calatroni
2024	J	`jnl`	Whiteness-based bilevel learning of regularization parameters in imaging. CoRR Carlo Santambrogio, Monica Pragliola, Alessandro Lanza, Marco Donatelli, Luca Calatroni
2023	J	`jnl`	A Unified Surface Geometric Framework for Feature-Aware Denoising, Hole Filling and Context-Aware Completion. J. Math. Imaging Vis. Luca Calatroni, Martin Huska, Serena Morigi, Giuseppe Antonio Recupero
2023	J	`jnl`	A mobility-SAV approach for a Cahn-Hilliard equation with degenerate mobilities. CoRR Elie Bretin, Luca Calatroni, Simon Masnou
2023	J	`jnl`	ADMM-Based Residual Whiteness Principle for Automatic Parameter Selection in Single Image Super-Resolution Problems. J. Math. Imaging Vis. Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
2023	J	`jnl`	Beyond ℓ1 sparse coding in V1. PLoS Comput. Biol. Ilias Rentzeperis, Luca Calatroni, Laurent U. Perrinet, Dario Prandi
2023	J	`jnl`	Bilevel learning of regularization models and their discretization for image deblurring and super-resolution. CoRR Tatiana A. Bubba, Luca Calatroni, Ambra Catozzi, Serena Crisci, Thomas Pock, Monica Pragliola, Siiri Rautio, Danilo Riccio, Andrea Sebastiani
2023	J	`jnl`	Deep image prior inpainting of ancient frescoes in the Mediterranean Alpine arc. CoRR Fabio Merizzi, Perrine Saillard, Oceane Acquier, Elena Morotti, Elena Loli Piccolomini, Luca Calatroni, Rosa Maria Dessì
2023	J	`jnl`	Fast and stable schemes for non-linear osmosis filtering. Comput. Math. Appl. Luca Calatroni, Serena Morigi, Simone Parisotto, Giuseppe Antonio Recupero
2023	—	`conf`	Fluctuation-Based Deconvolution in Fluorescence Microscopy Using Plug-and-Play Denoisers. SSVM Vasiliki Stergiopoulou, Subhadip Mukherjee, Luca Calatroni, Laure Blanc-Féraud
2023	J	`jnl`	Fluctuation-based deconvolution in fluorescence microscopy using plug-and-play denoisers. CoRR Vasiliki Stergiopoulou, Subhadip Mukherjee, Luca Calatroni, Laure Blanc-Féraud
2023	J	`jnl`	On and Beyond Total Variation Regularization in Imaging: The Role of Space Variance. SIAM Rev. Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
2023	—	`ed.`	Scale Space and Variational Methods in Computer Vision - 9th International Conference, SSVM 2023, Santa Margherita di Pula, Italy, May 21-25, 2023, Proceedings SSVM Luca Calatroni, Marco Donatelli, Serena Morigi, Marco Prato, Matteo Santacesaria
2023	J	`jnl`	Space-variant image reconstruction via Cauchy regularisation: Application to Optical Coherence Tomography. Signal Process. Alin Achim, Luca Calatroni, Serena Morigi, Gabriele Scrivanti
2023	—	`conf`	Stochastic Gradient Descent for Linear Inverse Problems in Variable Exponent Lebesgue Spaces. SSVM Marta Lazzaretti, Zeljko Kereta, Claudio Estatico, Luca Calatroni
2023	J	`jnl`	Stochastic gradient descent for linear inverse problems in variable exponent Lebesgue spaces. CoRR Marta Lazzaretti, Zeljko Kereta, Luca Calatroni, Claudio Estatico
2022	—	`conf`	3D Image Super-Resolution by Fluorophore Fluctuations and MA-TIRF Microscopy Reconstruction (3D-COL0RME). ISBI Vasiliki Stergiopoulou, Luca Calatroni, Sébastien Schaub, Laure Blanc-Féraud
2022	J	`jnl`	Constrained and Unconstrained Inverse Potts Modelling for Joint Image Super-Resolution and Segmentation. Image Process. Line Dario Mylonopoulos, Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini
2022	J	`jnl`	Fast and stable schemes for non-linear osmosis filtering. CoRR Luca Calatroni, Serena Morigi, Simone Parisotto, Giuseppe Antonio Recupero
2022	J	`jnl`	Modular-Proximal Gradient Algorithms in Variable Exponent Lebesgue Spaces. SIAM J. Sci. Comput. Marta Lazzaretti, Luca Calatroni, Claudio Estatico
2022	J	`jnl`	Scaled, Inexact, and Adaptive Generalized FISTA for Strongly Convex Optimization. SIAM J. Optim. Simone Rebegoldi, Luca Calatroni
2021	J	`jnl`	A Cortical-Inspired Sub-Riemannian Model for Poggendorff-Type Visual Illusions. J. Imaging Emre Baspinar, Luca Calatroni, Valentina Franceschi, Dario Prandi
2021	—	`conf`	A Scaled and Adaptive FISTA Algorithm for Signal-Dependent Sparse Image Super-Resolution Problems. SSVM Marta Lazzaretti, Simone Rebegoldi, Luca Calatroni, Claudio Estatico
2021	—	`conf`	A continuous, non-convex & sparse super-resolution approach for fluorescence microscopy data with Poisson noise. ICCSA (Workshops) Marta Lazzaretti, Luca Calatroni, Claudio Estatico
2021	—	`conf`	A scaled, inexact and adaptive Fast Iterative Soft-Thresholding Algorithm for convex image restoration. ICCSA (Workshops) Luca Calatroni, Simone Rebegoldi
2021	J	`jnl`	ADMM-based residual whiteness principle for automatic parameter selection in super-resolution problems. CoRR Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
2021	J	`jnl`	Accelerated Iterative Regularization via Dual Diagonal Descent. SIAM J. Optim. Luca Calatroni, Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
2021	—	`conf`	COL0RME: Covariance-Based l0 Super-Resolution Microscopy with Intensity Estimation. ISBI Vasiliki Stergiopoulou, José Henrique de Morais Goulart, Sébastien Schaub, Luca Calatroni, Laure Blanc-Féraud
2021	J	`jnl`	Cortical-Inspired Wilson-Cowan-Type Equations for Orientation-Dependent Contrast Perception Modelling. J. Math. Imaging Vis. Marcelo Bertalmío, Luca Calatroni, Valentina Franceschi, Benedetta Franceschiello, Dario Prandi
2021	J	`jnl`	Efficient $\ell ^0$ Gradient-Based Super-Resolution for Simplified Image Segmentation. IEEE Trans. Computational Imaging Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini
2021	J	`jnl`	Mathematical osmosis imaging for multi-modal and multi-spectral applications in Cultural Heritage conservation. CoRR Simone Parisotto, Luca Calatroni, Claudia Daffara
2021	J	`jnl`	Modular-proximal gradient algorithms in variable exponent Lebesgue spaces. CoRR Marta Lazzaretti, Luca Calatroni, Claudio Estatico
2021	—	`conf`	Non-Convex Super-Resolution Of Oct Images Via Sparse Representation. ISBI Gabriele Scrivanti, Luca Calatroni, Serena Morigi, Lindsay Nicholson, Alin Achim
2021	J	`jnl`	On and beyond Total Variation regularisation in imaging: the role of space variance. CoRR Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
2021	—	`conf`	Residual Whiteness Principle for Automatic Parameter Selection in ℓ SSVM Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
2021	J	`jnl`	Residual whiteness principle for automatic parameter selection in 𝓁 CoRR Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
2021	—	`conf`	Weighted-Celo Sparse Regularisation For Molecule Localisation In Super-Resolution Microscopy With Poisson Data. ISBI Marta Lazzaretti, Luca Calatroni, Claudio Estatico
2020	J	`jnl`	A cortical-inspired sub-Riemannian model for Poggendorff-type visual illusions. CoRR Emre Baspinar, Luca Calatroni, Valentina Franceschi, Dario Prandi
2020	J	`jnl`	Non-convex Super-resolution of OCT images via sparse representation. CoRR Gabriele Scrivanti, Luca Calatroni, Serena Morigi, Lindsay Nicholson, Alin Achim
2020	J	`jnl`	On the inverse Potts functional for single-image super-resolution problems. CoRR Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini
2020	J	`jnl`	Variational Osmosis for Non-Linear Image Fusion. IEEE Trans. Image Process. Simone Parisotto, Luca Calatroni, Aurélie Bugeau, Nicolas Papadakis, Carola-Bibiane Schönlieb
2020	J	`jnl`	Weighted-CEL0 sparse regularisation for molecule localisation in super-resolution microscopy with Poisson data. CoRR Marta Lazzaretti, Luca Calatroni, Claudio Estatico
2019	—	`conf`	A Cortical-Inspired Model for Orientation-Dependent Contrast Perception: A Link with Wilson-Cowan Equations. SSVM Marcelo Bertalmío, Luca Calatroni, Valentina Franceschi, Benedetta Franceschiello, Dario Prandi
2019	J	`jnl`	A Flexible Space-Variant Anisotropic Regularization for Image Restoration with Automated Parameter Selection. SIAM J. Imaging Sci. Luca Calatroni, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari
2019	J	`jnl`	Backtracking Strategies for Accelerated Descent Methods with Smooth Composite Objectives. SIAM J. Optim. Luca Calatroni, Antonin Chambolle
2019	J	`jnl`	Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling. CoRR Marcelo Bertalmío, Luca Calatroni, Valentina Franceschi, Benedetta Franceschiello, Dario Prandi
2019	J	`jnl`	Space-adaptive anisotropic bivariate Laplacian regularization for image restoration. CoRR Luca Calatroni, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari
2019	J	`jnl`	Variational Osmosis for Non-linear Image Fusion. CoRR Simone Parisotto, Luca Calatroni, Aurélie Bugeau, Nicolas Papadakis, Carola-Bibiane Schönlieb
2018	J	`jnl`	A cortical-inspired model for orientation-dependent contrast perception: a link with Wilson-Cowan equations. CoRR Marcelo Bertalmío, Luca Calatroni, Valentina Franceschi, Benedetta Franceschiello, Dario Prandi
2018	C	`conf`	Digital Cultural Heritage Imaging via Osmosis Filtering. ICISP Simone Parisotto, Luca Calatroni, Claudia Daffara
2018	J	`jnl`	Unveiling the invisible - mathematical methods for restoring and interpreting illuminated manuscripts. CoRR Luca Calatroni, Marie d'Autume, Rob Hocking, Stella Panayotova, Simone Parisotto, Paola Ricciardi, Carola-Bibiane Schönlieb
2017	J	`jnl`	Graph Clustering, Variational Image Segmentation Methods and Hough Transform Scale Detection for Object Measurement in Images. J. Math. Imaging Vis. Luca Calatroni, Yves van Gennip, Carola-Bibiane Schönlieb, Hannah M. Rowland, Arjuna Flenner
2017	J	`jnl`	Infimal Convolution of Data Discrepancies for Mixed Noise Removal. SIAM J. Imaging Sci. Luca Calatroni, Juan Carlos de los Reyes, Carola-Bibiane Schönlieb
2016	J	`jnl`	Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images. CoRR Luca Calatroni, Yves van Gennip, Carola-Bibiane Schönlieb, Hannah M. Rowland, Arjuna Flenner
2015	J	`jnl`	Bilevel approaches for learning of variational imaging models. CoRR Luca Calatroni, Cao Chung, Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen
2013	—	`conf`	A Primal-Dual Approach for a Total Variation Wasserstein Flow. GSI Martin Benning, Luca Calatroni, Bertram Düring, Carola-Bibiane Schönlieb
2013	—	`conf`	Dynamic Sampling Schemes for Optimal Noise Learning Under Multiple Nonsmooth Constraints. System Modelling and Optimization Luca Calatroni, Juan Carlos de los Reyes, Carola-Bibiane Schönlieb