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2020 – today
- 2024
[j20]Luca Calatroni, Marco Donatelli, Serena Morigi, Marco Prato, Matteo Santacesaria:
Guest Editorial JMIV Special Issue SSVM'23. J. Math. Imaging Vis. 66(4): 417-418 (2024)- [j19]Jean-François Aujol
, Luca Calatroni, Charles Dossal, Hippolyte Labarrière, Aude Rondepierre:
Parameter-Free FISTA by Adaptive Restart and Backtracking. SIAM J. Optim. 34(4): 3259-3285 (2024) - [c17]Carlo Santambrogio, Monica Pragliola, Alessandro Lanza, Marco Donatelli, Luca Calatroni:
Whiteness-Based Bilevel Learning of Regularization Parameters in Imaging. EUSIPCO 2024: 1801-1805 - [c16]Hamza Mentagui, Luca Calatroni, Sébastien Schaub, Laure Blanc-Féraud:
Physics-Inspired Generative Adversarial Modelling for Fluctuation-Based Super-Resolution Microscopy. ISBI 2024: 1-4 - [c15]M'hamed Essafri, Luca Calatroni, Emmanuel Soubies:
On $\ell_{0}$ Bregman-Relaxations for Kullback-Leibler Sparse Regressionx. MLSP 2024: 1-6 - [i25]Carlo Santambrogio, Monica Pragliola, Alessandro Lanza, Marco Donatelli, Luca Calatroni:
Whiteness-based bilevel learning of regularization parameters in imaging. CoRR abs/2403.07026 (2024) - [i24]Silvia Bonettini, Luca Calatroni, Danilo Pezzi, Marco Prato:
Algorithmic unfolding for image reconstruction and localization problems in fluorescence microscopy. CoRR abs/2403.17506 (2024) - [i23]Marta Lazzaretti, Claudio Estatico, Alejandro Melero Carrillo, Luca Calatroni:
Off-the-grid regularisation for Poisson inverse problems. CoRR abs/2404.00810 (2024) - 2023
- [j18]Luca Calatroni, Serena Morigi, Simone Parisotto, Giuseppe Antonio Recupero:
Fast and stable schemes for non-linear osmosis filtering. Comput. Math. Appl. 133: 30-47 (2023) - [j17]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): 82-98 (2023) - [j16]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): 99-123 (2023) - [j15]Ilias Rentzeperis, Luca Calatroni, Laurent U. Perrinet, Dario Prandi:
Beyond ℓ1 sparse coding in V1. PLoS Comput. Biol. 19(9) (2023) - [j14]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): 601-685 (2023) - [j13]Alin Achim, Luca Calatroni, Serena Morigi, Gabriele Scrivanti:
Space-variant image reconstruction via Cauchy regularisation: Application to Optical Coherence Tomography. Signal Process. 205: 108866 (2023) - [c14]Marta Lazzaretti, Zeljko Kereta, Claudio Estatico, Luca Calatroni:
Stochastic Gradient Descent for Linear Inverse Problems in Variable Exponent Lebesgue Spaces. SSVM 2023: 457-470 - [c13]Vasiliki Stergiopoulou, Subhadip Mukherjee, Luca Calatroni, Laure Blanc-Féraud:
Fluctuation-Based Deconvolution in Fluorescence Microscopy Using Plug-and-Play Denoisers. SSVM 2023: 498-510 - [e1]Luca Calatroni, Marco Donatelli, Serena Morigi, Marco Prato, Matteo Santacesaria:
Scale Space and Variational Methods in Computer Vision - 9th International Conference, SSVM 2023, Santa Margherita di Pula, Italy, May 21-25, 2023, Proceedings. Lecture Notes in Computer Science 14009, Springer 2023, ISBN 978-3-031-31974-7 [contents] - [i22]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 abs/2302.10056 (2023) - [i21]Marta Lazzaretti, Zeljko Kereta, Luca Calatroni, Claudio Estatico:
Stochastic gradient descent for linear inverse problems in variable exponent Lebesgue spaces. CoRR abs/2303.09182 (2023) - [i20]Vasiliki Stergiopoulou, Subhadip Mukherjee, Luca Calatroni, Laure Blanc-Féraud:
Fluctuation-based deconvolution in fluorescence microscopy using plug-and-play denoisers. CoRR abs/2303.11212 (2023) - [i19]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 abs/2306.14209 (2023) - [i18]Elie Bretin, Luca Calatroni, Simon Masnou:
A mobility-SAV approach for a Cahn-Hilliard equation with degenerate mobilities. CoRR abs/2306.15329 (2023) - 2022
- [j12]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: 92-110 (2022) - [j11]Simone Rebegoldi, Luca Calatroni:
Scaled, Inexact, and Adaptive Generalized FISTA for Strongly Convex Optimization. SIAM J. Optim. 32(3): 2428-2459 (2022) - [j10]Marta Lazzaretti, Luca Calatroni, Claudio Estatico:
Modular-Proximal Gradient Algorithms in Variable Exponent Lebesgue Spaces. SIAM J. Sci. Comput. 44(6): 3463- (2022) - [c12]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: 1-4 - [i17]Luca Calatroni, Serena Morigi, Simone Parisotto, Giuseppe Antonio Recupero:
Fast and stable schemes for non-linear osmosis filtering. CoRR abs/2203.15570 (2022) - 2021
- [j9]Emre Baspinar, Luca Calatroni, Valentina Franceschi, Dario Prandi:
A Cortical-Inspired Sub-Riemannian Model for Poggendorff-Type Visual Illusions. J. Imaging 7(3): 41 (2021) - [j8]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): 263-281 (2021) - [j7]Luca Calatroni, Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa:
Accelerated Iterative Regularization via Dual Diagonal Descent. SIAM J. Optim. 31(1): 754-784 (2021) - [j6]Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini:
Efficient $\ell ^0$ Gradient-Based Super-Resolution for Simplified Image Segmentation. IEEE Trans. Computational Imaging 7: 399-408 (2021) - [c11]Luca Calatroni, Simone Rebegoldi:
A scaled, inexact and adaptive Fast Iterative Soft-Thresholding Algorithm for convex image restoration. ICCSA (Workshops) 2021: 47-53 - [c10]Marta Lazzaretti, Luca Calatroni, Claudio Estatico:
A continuous, non-convex & sparse super-resolution approach for fluorescence microscopy data with Poisson noise. ICCSA (Workshops) 2021: 80-86 - [c9]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: 349-352 - [c8]Gabriele Scrivanti, Luca Calatroni, Serena Morigi, Lindsay Nicholson, Alin Achim:
Non-Convex Super-Resolution Of Oct Images Via Sparse Representation. ISBI 2021: 621-624 - [c7]Marta Lazzaretti, Luca Calatroni, Claudio Estatico:
Weighted-Celo Sparse Regularisation For Molecule Localisation In Super-Resolution Microscopy With Poisson Data. ISBI 2021: 1751-1754 - [c6]Marta Lazzaretti, Simone Rebegoldi, Luca Calatroni, Claudio Estatico:
A Scaled and Adaptive FISTA Algorithm for Signal-Dependent Sparse Image Super-Resolution Problems. SSVM 2021: 242-253 - [c5]Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari:
Residual Whiteness Principle for Automatic Parameter Selection in ℓ 2-ℓ 2 Image Super-Resolution Problems. SSVM 2021: 476-488 - [i16]Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari:
Residual whiteness principle for automatic parameter selection in 𝓁2-𝓁2 image super-resolution problems. CoRR abs/2104.01001 (2021) - [i15]Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari:
On and beyond Total Variation regularisation in imaging: the role of space variance. CoRR abs/2104.03650 (2021) - [i14]Simone Parisotto, Luca Calatroni, Claudia Daffara:
Mathematical osmosis imaging for multi-modal and multi-spectral applications in Cultural Heritage conservation. CoRR abs/2106.15253 (2021) - [i13]Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari:
ADMM-based residual whiteness principle for automatic parameter selection in super-resolution problems. CoRR abs/2108.13091 (2021) - [i12]Marta Lazzaretti, Luca Calatroni, Claudio Estatico:
Modular-proximal gradient algorithms in variable exponent Lebesgue spaces. CoRR abs/2112.05480 (2021) - 2020
- [j5]Simone Parisotto, Luca Calatroni, Aurélie Bugeau, Nicolas Papadakis, Carola-Bibiane Schönlieb:
Variational Osmosis for Non-Linear Image Fusion. IEEE Trans. Image Process. 29: 5507-5516 (2020) - [i11]Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini:
On the inverse Potts functional for single-image super-resolution problems. CoRR abs/2008.08470 (2020) - [i10]Gabriele Scrivanti, Luca Calatroni, Serena Morigi, Lindsay Nicholson, Alin Achim:
Non-convex Super-resolution of OCT images via sparse representation. CoRR abs/2010.12576 (2020) - [i9]Marta Lazzaretti, Luca Calatroni, Claudio Estatico:
Weighted-CEL0 sparse regularisation for molecule localisation in super-resolution microscopy with Poisson data. CoRR abs/2010.13173 (2020) - [i8]Emre Baspinar, Luca Calatroni, Valentina Franceschi, Dario Prandi:
A cortical-inspired sub-Riemannian model for Poggendorff-type visual illusions. CoRR abs/2012.14184 (2020)
2010 – 2019
- 2019
- [j4]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): 1001-1037 (2019) - [j3]Luca Calatroni, Antonin Chambolle:
Backtracking Strategies for Accelerated Descent Methods with Smooth Composite Objectives. SIAM J. Optim. 29(3): 1772-1798 (2019) - [c4]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: 472-484 - [i7]Luca Calatroni, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari:
Space-adaptive anisotropic bivariate Laplacian regularization for image restoration. CoRR abs/1908.00801 (2019) - [i6]Simone Parisotto, Luca Calatroni, Aurélie Bugeau, Nicolas Papadakis, Carola-Bibiane Schönlieb:
Variational Osmosis for Non-linear Image Fusion. CoRR abs/1910.02012 (2019) - [i5]Marcelo Bertalmío, Luca Calatroni, Valentina Franceschi, Benedetta Franceschiello, Dario Prandi:
Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling. CoRR abs/1910.06808 (2019) - 2018
- [c3]Simone Parisotto, Luca Calatroni, Claudia Daffara:
Digital Cultural Heritage Imaging via Osmosis Filtering. ICISP 2018: 407-415 - [i4]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 abs/1803.07187 (2018) - [i3]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 abs/1812.07425 (2018) - 2017
- [j2]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): 269-291 (2017) - [j1]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): 1196-1233 (2017) - 2016
- [i2]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 abs/1602.08574 (2016) - 2015
- [i1]Luca Calatroni, Cao Chung, Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen:
Bilevel approaches for learning of variational imaging models. CoRR abs/1505.02120 (2015) - 2013
- [c2]Martin Benning, Luca Calatroni, Bertram Düring, Carola-Bibiane Schönlieb:
A Primal-Dual Approach for a Total Variation Wasserstein Flow. GSI 2013: 413-421 - [c1]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: 85-95
Coauthor Index
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