7 citations · 8 across the 7 of their papers we have counts for
6 papers · 1 filter
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…
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…