Luca Calatroni
Orcid: 0000-0003-3887-1859
According to our database1,
Luca Calatroni
authored at least 50 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Algorithmic unfolding for image reconstruction and localization problems in fluorescence microscopy.
CoRR, 2024
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024
Physics-Inspired Generative Adversarial Modelling for Fluctuation-Based Super-Resolution Microscopy.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the 32nd European Signal Processing Conference, 2024
2023
SIAM Rev., August, 2023
Comput. Math. Appl., March, 2023
ADMM-Based Residual Whiteness Principle for Automatic Parameter Selection in Single Image Super-Resolution Problems.
J. Math. Imaging Vis., January, 2023
A Unified Surface Geometric Framework for Feature-Aware Denoising, Hole Filling and Context-Aware Completion.
J. Math. Imaging Vis., January, 2023
Space-variant image reconstruction via Cauchy regularisation: Application to Optical Coherence Tomography.
Signal Process., 2023
CoRR, 2023
CoRR, 2023
Bilevel learning of regularization models and their discretization for image deblurring and super-resolution.
CoRR, 2023
Fluctuation-Based Deconvolution in Fluorescence Microscopy Using Plug-and-Play Denoisers.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
Stochastic Gradient Descent for Linear Inverse Problems in Variable Exponent Lebesgue Spaces.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
2022
SIAM J. Optim., September, 2022
SIAM J. Sci. Comput., 2022
Constrained and Unconstrained Inverse Potts Modelling for Joint Image Super-Resolution and Segmentation.
Image Process. Line, 2022
3D Image Super-Resolution by Fluorophore Fluctuations and MA-TIRF Microscopy Reconstruction (3D-COL0RME).
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Efficient $\ell ^0$ Gradient-Based Super-Resolution for Simplified Image Segmentation.
IEEE Trans. Computational Imaging, 2021
Cortical-Inspired Wilson-Cowan-Type Equations for Orientation-Dependent Contrast Perception Modelling.
J. Math. Imaging Vis., 2021
J. Imaging, 2021
ADMM-based residual whiteness principle for automatic parameter selection in super-resolution problems.
CoRR, 2021
Mathematical osmosis imaging for multi-modal and multi-spectral applications in Cultural Heritage conservation.
CoRR, 2021
CoRR, 2021
Residual Whiteness Principle for Automatic Parameter Selection in ℓ <sub>2</sub>-ℓ <sub>2</sub> Image Super-Resolution Problems.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021
A Scaled and Adaptive FISTA Algorithm for Signal-Dependent Sparse Image Super-Resolution Problems.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Weighted-Celo Sparse Regularisation For Molecule Localisation In Super-Resolution Microscopy With Poisson Data.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
A continuous, non-convex & sparse super-resolution approach for fluorescence microscopy data with Poisson noise.
Proceedings of the 2021 21st International Conference on Computational Science and Its Applications (ICCSA), Cagliari, Italy, September 13-16, 2021, 2021
A scaled, inexact and adaptive Fast Iterative Soft-Thresholding Algorithm for convex image restoration.
Proceedings of the 2021 21st International Conference on Computational Science and Its Applications (ICCSA), Cagliari, Italy, September 13-16, 2021, 2021
2020
Weighted-CEL0 sparse regularisation for molecule localisation in super-resolution microscopy with Poisson data.
CoRR, 2020
CoRR, 2020
2019
Backtracking Strategies for Accelerated Descent Methods with Smooth Composite Objectives.
SIAM J. Optim., 2019
A Flexible Space-Variant Anisotropic Regularization for Image Restoration with Automated Parameter Selection.
SIAM J. Imaging Sci., 2019
CoRR, 2019
A Cortical-Inspired Model for Orientation-Dependent Contrast Perception: A Link with Wilson-Cowan Equations.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019
2018
Unveiling the invisible - mathematical methods for restoring and interpreting illuminated manuscripts.
CoRR, 2018
Proceedings of the Image and Signal Processing - 8th International Conference, 2018
2017
SIAM J. Imaging Sci., 2017
Graph Clustering, Variational Image Segmentation Methods and Hough Transform Scale Detection for Object Measurement in Images.
J. Math. Imaging Vis., 2017
2015
2013
Dynamic Sampling Schemes for Optimal Noise Learning Under Multiple Nonsmooth Constraints.
Proceedings of the System Modeling and Optimization, 2013
Proceedings of the Geometric Science of Information - First International Conference, 2013