activity
20182020
collaborators

5 papers

astro-ph.IM2020

A comparative analysis of denoising algorithms for extragalactic imaging surveys

V. Roscani, S. Tozza, M. Castellano +4

We present a comprehensive analysis of the performance of noise-reduction (``denoising'') algorithms to determine whether they provide advantages in source detection on extragalact…

math.NA2020

Multidimensional smoothness indicators for first-order Hamilton-Jacobi equations

Maurizio Falcone, Giulio Paolucci, Silvia Tozza

The lack of smoothness is a common feature of weak solutions of nonlinear hyperbolic equations and is a crucial issue in their approximation. This has motivated several efforts to…

math.NA2019

On the segmentation of astronomical images via level-set methods

Silvia Tozza, Maurizio Falcone

Astronomical images are of crucial importance for astronomers since they contain a lot of information about celestial bodies that can not be directly accessible. Most of the inform…

math.NA2018

A High-Order Scheme for Image Segmentation via a modified Level-Set method

Maurizio Falcone, Giulio Paolucci, Silvia Tozza

In this paper we propose a high-order accurate scheme for image segmentation based on the level-set method. In this approach, the curve evolution is described as the 0-level set of…

math.NA2018

Convergence of Adaptive Filtered Schemes for First Order Evolutionary Hamilton-Jacobi Equations

Maurizio Falcone, Giulio Paolucci, Silvia Tozza

We consider a class of "filtered" schemes for first order time dependent Hamilton-Jacobi equations and prove a general convergence result for this class of schemes. A typical filte…