7 citations · 8 across the 7 of their papers we have counts for
7 papers
Iterated graph Laplacian for image restoration problems
Stefano Aleotti, Davide Bianchi, Florian Bossmann +2
We study the graph Laplacian operator as a regularizer in a generalized Tikhonov framework for linear ill-posed problems. The Laplacian is updated iteratively from the current reco…
Variable Projected Augmented Lagrangian Methods for Generalized Lasso Problems
Stefano Aleotti, Davide Bianchi, Florian Bossmann +2
We introduce variable projected augmented Lagrangian (VPAL) methods for solving generalized nonlinear Lasso problems with improved speed and accuracy. By eliminating the nonsmooth…
Improved impedance inversion by the iterated graph Laplacian
Davide Bianchi, Florian Bossmann, Wenlong Wang +1
We introduce a data-adaptive inversion method that integrates classical or deep learning-based approaches with iterative graph Laplacian regularization, specifically targeting acou…
Structural Sparsity in Multiple Measurements
Florian Boßmann, Sara Krause-Solberg, Johannes Maly +1
We propose a novel sparsity model for distributed compressed sensing in the multiple measurement vectors (MMV) setting. Our model extends the concept of row-sparsity to allow more…
A direct solver for the phase retrieval problem in ptychographic imaging
Nada Sissouno, Florian Boßmann, Frank Filbir +5
Measurements achieved with ptychographic imaging are a special case of diffraction measurements. They are generated by illuminating small parts of a sample with, e.g., a focused X-…
Modeling variational inpainting methods with splines
Florian Boßmann, Tomas Sauer, Nada Sissouno
Mathematical methods of image inpainting involve the discretization of given continuous models. We present a method that avoids the standard pointwise discretization by modeling kn…
Generalized orthogonal matching pursuit for multiple measurements - A structural approach
Florian Boßmann
Sparse data approximation has become a popular research topic in signal processing. However, in most cases only a single measurement vector (SMV) is considered. In applications, th…