activity
20142024
most citedDiffraction Tomography, Fourier Reconstruction, and Full Waveform Inversion

6 citations · 19 across the 10 of their papers we have counts for

collaborators

10 papers

math.NA2024★ 3 cited

Generalized Fourier Diffraction Theorem and Filtered Backpropagation for Tomographic Reconstruction

Clemens Kirisits, Michael Quellmalz, Eric Setterqvist

This paper concerns diffraction-tomographic reconstruction of an object characterized by its scattering potential. We establish a rigorous generalization of the Fourier diffraction…

cs.LG2022

Local Approximations, Real Interpolation and Machine Learning

Eric Setterqvist, Natan Kruglyak, Robert Forchheimer

We suggest a novel classification algorithm that is based on local approximations and explain its connections with Artificial Neural Networks (ANNs) and Nearest Neighbour classifie…

cs.CV2022

An Improved Nearest Neighbour Classifier

Eric Setterqvist, Natan Kruglyak, Robert Forchheimer

A windowed version of the Nearest Neighbour (WNN) classifier for images is described. While its construction is inspired by the architecture of Artificial Neural Networks, the unde…

math.NA2021★ 6 cited

Diffraction Tomography, Fourier Reconstruction, and Full Waveform Inversion

Florian Faucher, Clemens Kirisits, Michael Quellmalz +2

In this paper, we study the mathematical imaging problem of diffraction tomography (DT), which is an inverse scattering technique used to find material properties of an object by i…

math.NA2021★ 3 cited

Fourier reconstruction for diffraction tomography of an object rotated into arbitrary orientations

Clemens Kirisits, Michael Quellmalz, Monika Ritsch-Marte +3

In this paper, we study the mathematical imaging problem of optical diffraction tomography (ODT) for the scenario of a microscopic rigid particle rotating in a trap created, for in…

math.OC2019

Iterative TV minimization on the graph

Japhet Niyobuhungiro, Eric Setterqvist, Freddie Åström +1

We define the space of functions of bounded variation () on the graph. Using the notion of divergence of flows on graphs, we show that the unit ball of the dual space to i…

math.OC2019★ 3 cited

Preservation of Piecewise Constancy under TV Regularization with Rectilinear Anisotropy

Clemens Kirisits, Eric Setterqvist, Otmar Scherzer

A recent result by Lasica, Moll and Mucha about the -anisotropic Rudin-Osher-Fatemi model in asserts that the solution is piecewise constant on a rectilinear…

math.OC2019

On the ROF Model in Rectilinear Anisotropy: Piecewise Constant Approximation and Universal Minimality

Clemens Kirisits, Eric Setterqvist

We prove that the distance between the minimizer of the -anisotropic Rudin-Osher-Fatemi (ROF) functional and its minimizer over the space of piecewise constant functi…

math.OC2018★ 4 cited

Invariant -minimal sets and total variation denoising on graphs

Clemens Kirisits, Otmar Scherzer, Eric Setterqvist

Total variation flow, total variation regularization and the taut string algorithm are known to be equivalent filters for one-dimensional discrete signals. In addition, the filtere…

math.PR2014

Energy of taut strings accompanying Wiener process

Mikhail Lifshits, Eric Setterqvist

Let be a Wiener process. The function minmizing energy among all functions satisfying on an interval is…