5 citations · 13 across the 12 of their papers we have counts for
13 papers
Diffusion Graph Posterior Sampling for Nonlinear Inverse Problems with Application to Electrical Impedance Tomography
Giovanni S. Alberti, Damiana Lazzaro, Serena Morigi +2
Deep generative models have emerged as state-of-the-art for solving inverse problems, but applying them to inverse problems for PDEs, like electrical impedance tomography (EIT) rem…
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…
Additive decomposition of one-dimensional signals using Transformers
Samuele Salti, Andrea Pinto, Alessandro Lanza +1
One-dimensional signal decomposition is a well-established and widely used technique across various scientific fields. It serves as a highly valuable pre-processing step for data a…
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…
Quantum median filter for Total Variation image denoising
Simone De Santis, Damiana Lazzaro, Riccardo Mengoni +1
In this new computing paradigm, named quantum computing, researchers from all over the world are taking their first steps in designing quantum circuits for image processing, throug…
Non-convex Super-resolution of OCT images via sparse representation
Gabriele Scrivanti, Luca Calatroni, Serena Morigi +2
We propose a non-convex variational model for the super-resolution of Optical Coherence Tomography (OCT) images of the murine eye, by enforcing sparsity with respect to suitable di…
Space-variant Generalized Gaussian Regularization for Image Restoration
Alessandro Lanza, Serena Morigi, Monica Pragliola +1
We propose a new space-variant regularization term for variational image restoration based on the assumption that the gradient magnitudes of the target image distribute locally acc…
Space-variant TV regularization for image restoration
Alessandro Lanza, Serena Morigi, Monica Pragliola +1
We propose two new variational models aimed to outperform the popular total variation (TV) model for image restoration with L and L fidelity terms. In particular, we introd…
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…