Pasquale Cascarano

According to our database, Pasquale Cascarano authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

2024

Constrained Plug-and-Play Priors for Image Restoration.

Alessandro Benfenati, Pasquale Cascarano

J. Imaging, February, 2024

Constrained Regularization by Denoising With Automatic Parameter Selection.

Pasquale Cascarano, Alessandro Benfenati, Ulugbek S. Kamilov, Xiaojian Xu

IEEE Signal Process. Lett., 2024

2023

Constrained and unconstrained deep image prior optimization models with automatic regularization.

Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani

Comput. Optim. Appl., 2023

2022

Constrained and Unconstrained Inverse Potts Modelling for Joint Image Super-Resolution and Segmentation.

Dario Mylonopoulos, Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini

Image Process. Line, 2022

DeepCEL0 for 2D single-molecule localization in fluorescence microscopy.

Pasquale Cascarano, Maria Colomba Comes, Andrea Sebastiani, Arianna Mencattini, Elena Loli Piccolomini, Eugenio Martinelli

Bioinform., 2022

Plug-and-Play gradient-based denoisers applied to CT image enhancement.

Pasquale Cascarano, Elena Loli Piccolomini, Elena Morotti, Andrea Sebastiani

Appl. Math. Comput., 2022

2021

Efficient $\ell ^0$ Gradient-Based Super-Resolution for Simplified Image Segmentation.

Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini

IEEE Trans. Computational Imaging, 2021

Recursive Deep Prior Video: A super resolution algorithm for time-lapse microscopy of organ-on-chip experiments.

Pasquale Cascarano, Maria Colomba Comes, Arianna Mencattini, Maria Carla Parrini, Elena Loli Piccolomini, Eugenio Martinelli

Medical Image Anal., 2021

On the geometric and Riemannian structure of the spaces of group equivariant non-expansive operators.

Pasquale Cascarano, Patrizio Frosini, Nicola Quercioli, Amir Saki

CoRR, 2021

Plug-and-Play external and internal priors for image restoration.

Pasquale Cascarano, Elena Loli Piccolomini, Elena Morotti, Andrea Sebastiani

CoRR, 2021

Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM.

Pasquale Cascarano, Andrea Sebastiani, Maria Colomba Comes, Giorgia Franchini, Federica Porta

Proceedings of the 2021 21st International Conference on Computational Science and Its Applications (ICCSA), Cagliari, Italy, September 13-16, 2021, 2021

2020

Super-Resolution of Thermal Images Using an Automatic Total Variation Based Method.

Pasquale Cascarano, Francesco Corsini, Stefano Gandolfi, Elena Loli Piccolomini, Emanuele Mandanici, Luca Tavasci, Fabiana Zama

Remote. Sens., 2020

ADMM-DIPTV: combining Total Variation and Deep Image Prior for image restoration.

Pasquale Cascarano, Andrea Sebastiani, Maria Colomba Comes

CoRR, 2020

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

Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini

CoRR, 2020

2019

Recurrent Neural Networks Applied to GNSS Time Series for Denoising and Prediction.

Elena Loli Piccolomini, Stefano Gandolfi, Luca Poluzzi, Luca Tavasci, Pasquale Cascarano, Andrea Pascucci

Proceedings of the 26th International Symposium on Temporal Representation and Reasoning, 2019