5 citations · 13 across the 12 of their papers we have counts for
7 papers · 1 filter
Guided Variational Network for Image Decomposition
Alessandro Lanza, Serena Morigi, Youwei Wen +1
Cartoon-texture image decomposition is a critical preprocessing problem bottlenecked by the numerical intractability of classical variational or optimization models and the tedious…
Deep Unfolding Network for Nonlinear Multi-Frequency Electrical Impedance Tomography
Giovanni S. Alberti, Damiana Lazzaro, Serena Morigi +2
Multi-frequency Electrical Impedance Tomography (mfEIT) represents a promising biomedical imaging modality that enables the estimation of tissue conductivities across a range of fr…
Truncated Huber Penalty for Sparse Signal Recovery with Convergence Analysis
Li Yang, Serena Morigi, Michael K. Ng +1
Sparse signal recovery from under-determined systems presents significant challenges when using conventional L_0 and L_1 penalties, primarily due to computational complexity and es…
Oracle-Net for nonlinear compressed sensing in Electrical Impedance Tomography reconstruction problems
Damiana Lazzaro, Serena Morigi, Luca Ratti
Sparse recovery principles play an important role in solving many nonlinear ill-posed inverse problems. We investigate a variational framework with support Oracle for compressed se…
Shape Partitioning via L Compressed Modes
Martin Huska, Damiana Lazzaro, Serena Morigi
The eigenfunctions of the Laplace Beltrami operator (Manifold Harmonics) define a function basis that can be used in spectral analysis on manifolds. In [21] the authors recast the…
On multi-degree splines
Carolina Vittoria Beccari, Giulio Casciola, Serena Morigi
Multi-degree splines are piecewise polynomial functions having sections of different degrees. For these splines, we discuss the construction of a B-spline basis by means of integra…
Vessel Segmentation in Medical Imaging Using a Tight-Frame Based Algorithm
Xiaohao Cai, Raymond Chan, Serena Morigi +1
Tight-frame, a generalization of orthogonal wavelets, has been used successfully in various problems in image processing, including inpainting, impulse noise removal, super-resolut…