3 citations · 5 across the 9 of their papers we have counts for
6 papers · 1 filter
Addendum on data driven regularization by projection
Martin Hanke, Otmar Scherzer
We study the stability of regularization by projection for solving linear inverse problems if the forward operator is given indirectly but specified via some input-output training…
Spectral Function Space Learning and Numerical Linear Algebra Networks for Solving Linear Inverse Problems
Andrea Aspri, Leon Frischauf, Otmar Scherzer
We consider solving a probably ill-conditioned linear operator equation, where the operator is not modeled by physical laws but is specified via training pairs (consisting of image…
Using the Transport of Intensity and the Transport of Phase Equation for Phase Retrieval
Clemens Kirisits, Kemal Raik, Otmar Scherzer +2
We investigate the transport of intensity equation (TIE) and the transport of phase equation (TPE) for solving the phase retrieval problem. Both the TIE and the TPE are derived fro…
Computational inverse scattering with internal sources: a reproducing kernel Hilbert space approach
Yakun Dong, Kamran Sadiq, Otmar Scherzer +1
We present a method to reconstruct the dielectric susceptibility (scattering potential) of an inhomogeneous scattering medium, based on the solution to the inverse scattering probl…
Diffraction Tomography for a Generalized Incident Field
Clemens Kirisits, Noemi Naujoks, Otmar Scherzer
Diffraction tomography is an inverse scattering technique used to reconstruct the spatial distribution of the material properties of a weakly scattering object. The object is expos…
Uncertainty Quantification for Scale-Space Blob Detection
Fabian Parzer, Clemens Kirisits, Otmar Scherzer
We consider the problem of blob detection for uncertain images, such as images that have to be inferred from noisy measurements. Extending recent work motivated by astronomical app…