7 citations · 28 across the 31 of their papers we have counts for
8 papers · 1 filter
Image reconstruction in light-sheet microscopy: spatially varying deconvolution and mixed noise
Bogdan Toader, Jerome Boulanger, Yury Korolev +4
We study the problem of deconvolution for light-sheet microscopy, where the data is corrupted by spatially varying blur and a combination of Poisson and Gaussian noise. The spatial…
Scanning electron diffraction tomography of strain
Robert Tovey, Duncan N. Johnstone, Sean M. Collins +4
Strain engineering is used to obtain desirable materials properties in a range of modern technologies. Direct nanoscale measurement of the three-dimensional strain tensor field wit…
Variational regularisation for inverse problems with imperfect forward operators and general noise models
Leon Bungert, Martin Burger, Yury Korolev +1
We study variational regularisation methods for inverse problems with imperfect forward operators whose errors can be modelled by order intervals in a partial order of a Banach lat…
On Learned Operator Correction in Inverse Problems
Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen +2
We discuss the possibility to learn a data-driven explicit model correction for inverse problems and whether such a model correction can be used within a variational framework to o…
Total Variation Regularisation with Spatially Variable Lipschitz Constraints
Martin Burger, Yury Korolev, Simone Parisotto +1
We introduce a first order Total Variation type regulariser that decomposes a function into a part with a given Lipschitz constant (which is also allowed to vary spatially) and a j…
A Variational Model Dedicated to Joint Segmentation, Registration and Atlas Generation for Shape Analysis
Noémie Debroux, John Aston, Fabien Bonardi +4
In medical image analysis, constructing an atlas, i.e. a mean representative of an ensemble of images, is a critical task for practitioners to estimate variability of shapes inside…