Monica Pragliola

According to our database, Monica Pragliola authored at least 19 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Whiteness-based bilevel learning of regularization parameters in imaging.

Carlo Santambrogio, Monica Pragliola, Alessandro Lanza, Marco Donatelli, Luca Calatroni

CoRR, 2024

2023

On and Beyond Total Variation Regularization in Imaging: The Role of Space Variance.

Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari

SIAM Rev., August, 2023

ADMM-Based Residual Whiteness Principle for Automatic Parameter Selection in Single Image Super-Resolution Problems.

Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari

J. Math. Imaging Vis., January, 2023

Bilevel learning of regularization models and their discretization for image deblurring and super-resolution.

Tatiana A. Bubba, Luca Calatroni, Ambra Catozzi, Serena Crisci, Thomas Pock, Monica Pragliola, Siiri Rautio, Danilo Riccio, Andrea Sebastiani

CoRR, 2023

2022

Nearly Exact Discrepancy Principle for Low-Count Poisson Image Restoration.

Francesca Bevilacqua, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari

J. Imaging, 2022

Whiteness-based parameter selection for Poisson data in variational image processing.

Francesca Bevilacqua, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari

CoRR, 2022

Automatic parameter selection for the TGV regularizer in image restoration under Poisson noise.

Daniela di Serafino, Monica Pragliola

CoRR, 2022

2021

ADMM-based residual whiteness principle for automatic parameter selection in super-resolution problems.

Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari

CoRR, 2021

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

Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari

CoRR, 2021

Residual Whiteness Principle for Automatic Parameter Selection in ℓ ₂-ℓ ₂ Image Super-Resolution Problems.

Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

2020

Sparsity Promoting Hybrid Solvers for Hierarchical Bayesian Inverse Problems.

Daniela Calvetti, Monica Pragliola, Erkki Somersalo

SIAM J. Sci. Comput., 2020

Overcomplete representation in a hierarchical Bayesian framework.

Monica Pragliola, Daniela Calvetti, Erkki Somersalo

CoRR, 2020

2019

A Flexible Space-Variant Anisotropic Regularization for Image Restoration with Automated Parameter Selection.

Luca Calatroni, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari

SIAM J. Imaging Sci., 2019

Space-adaptive anisotropic bivariate Laplacian regularization for image restoration.

Luca Calatroni, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari

CoRR, 2019

Space-variant Generalized Gaussian Regularization for Image Restoration.

Alessandro Lanza, Serena Morigi, Monica Pragliola, Fiorella Sgallari

CoRR, 2019

Space-variant generalised Gaussian regularisation for image restoration.

Alessandro Lanza, Serena Morigi, Monica Pragliola, Fiorella Sgallari

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019

2017

A computational scheme to predict dynamics in IoT systems by using particle filter.

Salvatore Cuomo, Pasquale De Michele, Monica Pragliola

Concurr. Comput. Pract. Exp., 2017

2016

Computational issues and numerical experiments for Linear Multistep Method Particle Filtering.

Daniela Calvetti, Salvatore Cuomo, Monica Pragliola, Erkki Somersalo, Gerardo Toraldo

CoRR, 2016

Mimic Visiting Styles by Using a Statistical Approach in a Cultural Event Case Study.

Salvatore Cuomo, Pasquale De Michele, Monica Pragliola, Gerardo Severino

Proceedings of the 7th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2016)/The 6th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2016)/Affiliated Workshops, 2016