Luca Calatroni

Orcid: 0000-0003-3887-1859

According to our database1, Luca Calatroni authored at least 46 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Off-the-grid regularisation for Poisson inverse problems.
CoRR, 2024

Algorithmic unfolding for image reconstruction and localization problems in fluorescence microscopy.
CoRR, 2024

Whiteness-based bilevel learning of regularization parameters in imaging.
CoRR, 2024

2023
On and Beyond Total Variation Regularization in Imaging: The Role of Space Variance.
SIAM Rev., August, 2023

Fast and stable schemes for non-linear osmosis filtering.
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

Beyond ℓ1 sparse coding in V1.
PLoS Comput. Biol., 2023

A mobility-SAV approach for a Cahn-Hilliard equation with degenerate mobilities.
CoRR, 2023

Deep image prior inpainting of ancient frescoes in the Mediterranean Alpine arc.
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
Scaled, Inexact, and Adaptive Generalized FISTA for Strongly Convex Optimization.
SIAM J. Optim., September, 2022

Modular-Proximal Gradient Algorithms in Variable Exponent Lebesgue Spaces.
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

Accelerated Iterative Regularization via Dual Diagonal Descent.
SIAM J. Optim., 2021

Cortical-Inspired Wilson-Cowan-Type Equations for Orientation-Dependent Contrast Perception Modelling.
J. Math. Imaging Vis., 2021

A Cortical-Inspired Sub-Riemannian Model for Poggendorff-Type Visual Illusions.
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

On and beyond Total Variation regularisation in imaging: the role of space variance.
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

COL0RME: Covariance-Based l0 Super-Resolution Microscopy with Intensity Estimation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Non-Convex Super-Resolution Of Oct Images Via Sparse Representation.
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
Variational Osmosis for Non-Linear Image Fusion.
IEEE Trans. Image Process., 2020

Weighted-CEL0 sparse regularisation for molecule localisation in super-resolution microscopy with Poisson data.
CoRR, 2020

On the inverse Potts functional for single-image super-resolution problems.
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

Space-adaptive anisotropic bivariate Laplacian regularization for image restoration.
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

Digital Cultural Heritage Imaging via Osmosis Filtering.
Proceedings of the Image and Signal Processing - 8th International Conference, 2018

2017
Infimal Convolution of Data Discrepancies for Mixed Noise Removal.
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
Bilevel approaches for learning of variational imaging models.
CoRR, 2015

2013
Dynamic Sampling Schemes for Optimal Noise Learning Under Multiple Nonsmooth Constraints.
Proceedings of the System Modeling and Optimization, 2013

A Primal-Dual Approach for a Total Variation Wasserstein Flow.
Proceedings of the Geometric Science of Information - First International Conference, 2013


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