5 papers
An analysis of least-squares oversampled collocation methods for compactly perturbed boundary integral equations in two dimensions
Georg Maierhofer, Daan Huybrechs
In recent work (Maierhofer & Huybrechs, 2022, Adv. Comput. Math.), the authors showed that least-squares oversampling can improve the convergence properties of collocation methods…
Convergence analysis of oversampled collocation boundary element methods in 2D
Georg Maierhofer, Daan Huybrechs
Collocation boundary element methods for integral equations are easier to implement than Galerkin methods because the elements of the discretization matrix are given by lower-dimen…
Learning the Sampling Pattern for MRI
Ferdia Sherry, Martin Benning, Juan Carlos De los Reyes +5
The discovery of the theory of compressed sensing brought the realisation that many inverse problems can be solved even when measurements are "incomplete". This is particularly int…
Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All? - A Tailored Approach to Single Image Reflection Removal
Daniel Heydecker, Georg Maierhofer, Angelica I. Aviles-Rivero +4
Removing reflection artefacts from a single image is a problem of both theoretical and practical interest, which still presents challenges because of the massively ill-posed nature…
Peekaboo - Where are the Objects? Structure Adjusting Superpixels
Georg Maierhofer, Daniel Heydecker, Angelica I. Aviles-Rivero +2
This paper addresses the search for a fast and meaningful image segmentation in the context of -means clustering. The proposed method builds on a widely-used local version of Ll…