Demand for low carbon energy storage has highlighted the importance of imaging
techniques for the characterization of electrode microstructures to determine key parameters …

Imaging is omnipresent in modern society with imaging devices based on a zoo of physical
principles, probing a specimen across different wavelengths, energies and time. Recent …

Objective. This paper investigates how generative models, trained on ground-truth images,
can be used as priors for inverse problems, penalizing reconstructions far from images the …

We propose a new variational model in Sobolev–Orlicz spaces with non-standard growth
conditions of the objective functional and discuss its applications to image processing. The …

Multiple magnetic resonance images of different contrasts are normally acquired for clinical
diagnosis. Recently, research has shown that the previously acquired multi-contrast (MC) …

In this paper, the problem of restoration of cloud contaminated optical images is studied in
the case when we have no information about brightness of such images in the damage …

Purpose Dynamic nuclear polarization is an emerging imaging method that allows
noninvasive investigation of tissue metabolism. However, the relatively low metabolic spatial …

We study a coupled two-level variational model in Sobolev-Orlicz spaces with non-standard
growth conditions of the objective functional and discuss its consistence and solvability …

We present a retrospective joint motion correction and reconstruction scheme for magnetic
resonance imaging to reduce the imprint of subject motion on the reconstructed images. In …

We propose a new variational model in Sobolev-Orlicz spaces with non-standard growth
conditions of the objective functional and discuss its applications to the simultaneous …