LC
Luca Calatroni
math.OCcs.NAmath.NAcs.CVeess.IVcs.LGmath.APbiophysicscs.AIq-bio.NC
On Valency
published · living versionsW_9m6xn34p·v1 · currentpublished
Neural Blind Deconvolution for Image Scanning Microscopy
with Eliot Guez, Nathan Buskulic, Lisa Cuneo, Giuseppe Vicidomini
1 version
Preprints & journals
63 papers in the corpus · 2012–2026Independent noise realizations enable morphologically agnostic image reconstruction in single-photon-sensitive microscopy10.64898/2026.09.12.751176v1 · Cuneo, L., Zunino, A., Le, L. et al.2026 · 0 citationsbioRxiv
DREAM: Deep-Reparametrization of Adaptive Regularization Maps for Fast Zero-Shot Self-Supervised Learning2609.04019v1 · Thanh Trung Vu, Ander Biguri, Christoph Kolbitsch et al.2026 · 0 citationsarXiv
Learning spatially varying regularisation parameters of low regularity for image reconstruction2608.25127v1 · Kostas Papafitsoros, Luca Calatroni, Andreas Kofler2026 · 0 citationsarXiv
Relax and Follow: L0-Path Computation with L0-Bregman Relaxations2606.02176v1 · Mhamed Essafri, Luca Calatroni, Emmanuel Soubies2026 · 0 citationsarXiv
Self-Tuning Regularization for Image Scanning Microscopy2605.31426v2 · Sofia Agostoni, Lisa Cuneo, Christian Daniele et al.2026 · 0 citationsarXiv
A Comparative Study of MAP and LMMSE Estimators for Blind Inverse Problems2602.11814v1 · Nathan Buskulic, Luca Calatroni2026 · 0 citationsarXiv
On the Sample Complexity of Learning for Blind Inverse Problems2512.23405v4 · Nathan Buskulic, Luca Calatroni, Lorenzo Rosasco et al.2025 · 0 citationsarXiv
A non-smooth regularization framework for learning over multitask graphs2509.17728v1 · Yara Zgheib, Luca Calatroni, Marc Antonini et al.2025 · 0 citationsarXiv
MUFASA: A Continuous-Time Stochastic Framework for Realistic Fluorescence Microscopy Simulation10.1101/2025.07.10.664068v1 · Omezzine, W., Schaub, S., Blanc-Feraud, L. et al.2025 · 0 citationsbioRxiv
Deep Equilibrium models for Poisson Imaging Inverse problems via Mirror Descent2507.11461v2 · Christian Daniele, Silvia Villa, Samuel Vaiter et al.2025 · 1 citationarXiv
Patch-based learning of adaptive Total Variation parameter maps for blind image denoising2503.16010v2 · Claudio Fantasia, Luca Calatroni, Xavier Descombes et al.2025 · 0 citationsarXiv
Box-constrained L0 Bregman-relaxations2503.15083v1 · Mhamed Essafri, Luca Calatroni, Emmanuel Soubies2025 · 0 citationsarXiv
Learning Spatially Adaptive -Norms Weights for Convolutional Synthesis Regularization2503.09483v4 · Andreas Kofler, Luca Calatroni, Christoph Kolbitsch et al.2025 · 0 citationsarXiv
Whiteness-based bilevel estimation of weighted TV parameter maps for image denoising2503.07814v1 · Monica Pragliola, Luca Calatroni, Alessandro Lanza2025 · 0 citationsarXiv
Off-the-grid regularisation for Poisson inverse problems.40391070 · Lazzaretti, Marta, Estatico, Claudio, Melero, Alejandro et al.2025 · 1 citationComputational optimization and applications. 2025;91(2):827-860
Algorithmic unfolding for image reconstruction and localization problems in fluorescence microscopy2403.17506v1 · Silvia Bonettini, Luca Calatroni, Danilo Pezzi et al.2024 · 0 citationsarXiv
Whiteness-based bilevel learning of regularization parameters in imaging2403.07026v1 · Carlo Santambrogio, Monica Pragliola, Alessandro Lanza et al.2024 · 3 citationsarXiv
Exact continuous relaxations of l0-regularized criteria with non-quadratic data terms2402.06483v3 · M'hamed Essafri, Luca Calatroni, Emmanuel Soubies2024 · 0 citationsarXiv
Beyond ℓ1 sparse coding in V1.37699052 · Rentzeperis, Ilias, Calatroni, Luca, Perrinet, Laurent U et al.2023 · 4 citationsPLoS computational biology. 2023;19(9):e1011459
Parameter-Free FISTA by Adaptive Restart and Backtracking2307.14323v1 · Jean-Francois Aujol, Luca Calatroni, Charles Dossal et al.2023 · 11 citationsarXiv
A mobility-SAV approach for a Cahn-Hilliard equation with degenerate mobilities2306.15329v2 · Elie Bretin, Luca Calatroni, Simon Masnou2023 · 1 citationarXiv
Deep image prior inpainting of ancient frescoes in the Mediterranean Alpine arc2306.14209v2 · Fabio Merizzi, Perrine Saillard, Oceane Acquier et al.2023 · 17 citationsarXiv
Fluctuation-based deconvolution in fluorescence microscopy using plug-and-play denoisers2303.11212v1 · Vasiliki Stergiopoulou, Subhadip Mukherjee, Luca Calatroni et al.2023 · 3 citationsarXiv
Stochastic gradient descent for linear inverse problems in variable exponent Lebesgue spaces2303.09182v1 · Marta Lazzaretti, Zeljko Kereta, Luca Calatroni et al.2023 · 1 citationarXiv
Bilevel learning of regularization models and their discretization for image deblurring and super-resolution2302.10056v2 · Tatiana A. Bubba, Luca Calatroni, Ambra Catozzi et al.2023 · 2 citationsarXiv
Beyond sparse coding in V12301.10002v2 · Ilias Rentzeperis, Luca Calatroni, Laurent Perrinet et al.2023 · 0 citationsarXiv
Fast and stable schemes for non-linear osmosis filtering2203.15570v1 · L.Calatroni, S.Morigi, S.Parisotto et al.2022 · 7 citationsarXiv
COL0RME: Super-resolution microscopy based on sparse blinking/fluctuating fluorophore localization and intensity estimation.38510430 · Stergiopoulou, Vasiliki, Calatroni, Luca, de Morais Goulart, Henrique et al.2024 · 5 citationsBiological imaging. 2022;2:e1
Modular-proximal gradient algorithms in variable exponent Lebesgue spaces2112.05480v2 · Marta Lazzaretti, Luca Calatroni, Claudio Estatico2021 · 5 citationsSIAM Journal on Scientific Computing, Vol. 44, Iss. 6 (2022), pp. A3463--A3489
3D Image Super-Resolution by fluorophore fluctuations and MA-TIRF Microscopy reconstruction (3D-COL0RME)2111.03170v4 · Vasiliki Stergiopoulou, Luca Calatroni, S'ebastien Schaub et al.2021 · 2 citationsarXiv
ADMM-based residual whiteness principle for automatic parameter selection in super-resolution problems2108.13091v1 · Monica Pragliola, Luca Calatroni, Alessandro Lanza et al.2021 · 1 citationarXiv
Mathematical osmosis imaging for multi-modal and multi-spectral applications in Cultural Heritage conservation2106.15253v1 · Simone Parisotto, Luca Calatroni, Claudia Daffara2021 · 0 citationsProceedings of the 6th International workshop on Image Processing for Art Investigation (IP4AI) 2018
On and beyond Total Variation regularisation in imaging: the role of space variance2104.03650v1 · Monica Pragliola, Luca Calatroni, Alessandro Lanza et al.2021 · 1 citationarXiv
Residual whiteness principle for automatic parameter selection in - image super-resolution problems2104.01001v1 · Monica Pragliola, Luca Calatroni, Alessandro Lanza et al.2021 · 4 citationsarXiv
A scaled, inexact and adaptive Fast Iterative Soft-Thresholding Algorithm for convex image restoration2104.00354v1 · Luca Calatroni, Simone Rebegoldi2021 · 3 citationsarXiv
A Cortical-Inspired Sub-Riemannian Model for Poggendorff-Type Visual Illusions.34460697 · Baspinar, Emre, Calatroni, Luca, Franceschi, Valentina et al.2026 · 7 citationsJournal of imaging. 2021;7(3)
Scaled, inexact and adaptive generalized FISTA for strongly convex optimization2101.03915v1 · Simone Rebegoldi, Luca Calatroni2021 · 18 citationsarXiv
COL0RME: COvariance-based super-Resolution Microscopy with intensity Estimation2010.13477v2 · Vasiliki Stergiopoulou, Jos'e Henrique de Morais Goulart, S'ebastien Schaub et al.2020 · 9 citationsarXiv
Weighted-CEL0 sparse regularisation for molecule localisation in super-resolution microscopy with Poisson data2010.13173v1 · Marta Lazzaretti, Luca Calatroni, Claudio Estatico2020 · 1 citationarXiv
Non-convex Super-resolution of OCT images via sparse representation2010.12576v1 · Gabriele Scrivanti, Luca Calatroni, Serena Morigi et al.2020 · 2 citationsarXiv
Efficient gradient-based Super Resolution for simplified image segmentation2008.08470v2 · Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini2020 · 15 citationsarXiv
Variational Osmosis for Non-linear Image Fusion.32248103 · Parisotto, Simone, Calatroni, Luca, Bugeau, Aurelie et al.2024 · 31 citationsIEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2020
Visual illusions via neural dynamics: Wilson-Cowan-type models and the efficient representation principle.32159409 · Bertalmío, Marcelo, Calatroni, Luca, Franceschi, Valentina et al.2021 · 21 citationsJournal of neurophysiology. 2020;123(5):1606-1618
Accelerated iterative regularization via dual diagonal descent1912.12153v1 · Luca Calatroni, Guillaume Garrigos, Lorenzo Rosasco et al.2019 · 11 citationsSIAM Journal on Optimization, 31(1), 754-784 (2021)
Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling1910.06808v2 · Marcelo Bertalm'io, Luca Calatroni, Valentina Franceschi et al.2019 · 16 citationsJournal of Mathematical Imaging and Vision 2020
Space-adaptive anisotropic bivariate Laplacian regularization for image restoration1908.00801v1 · Luca Calatroni, Alessandro Lanza, Monica Pragliola et al.2019 · 2 citationsarXiv
Adaptive parameter selection for weighted-TV image reconstruction problems1905.11264v1 · Luca Calatroni, Alessandro Lanza, Monica Pragliola et al.2019 · 21 citationsarXiv
A flexible space-variant anisotropic regularisation for image restoration with automated parameter selection1904.01799v1 · Luca Calatroni, Alessandro Lanza, Monica Pragliola et al.2019 · 1 citationarXiv
A cortical-inspired model for orientation-dependent contrast perception: a link with Wilson-Cowan equations1812.07425v1 · Marcelo Bertalm'io, Luca Calatroni, Valentina Franceschi et al.2018 · 14 citationsarXiv
Analysis and optimisation of a variational model for mixed Gaussian and Salt & Pepper noise removal1809.08991v1 · Luca Calatroni, Kostas Papafitsoros2018 · 31 citationsarXiv
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