4 papers · 1 filter
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…
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…
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…