Purpose To study and reduce the effect of Gibbs ringing artifact on computed diffusion
parameters. Methods We reduce the ringing by extrapolating the k‐space of each diffusion …

We study the solution of minimax problems min x max y G (x)+< K (x), y>− F*(y) in finite-
dimensional Hilbert spaces. The functionals G and F* we assume to be convex, but the …

Magnetic resonance imaging (MRI) is an outstanding medical imaging modality but the
quality often suffers from noise pollution during image acquisition and transmission. The …

Image deblurring under Rician noise has attracted considerable attention in imaging
science. Frequently appearing in medical imaging, Rician noise leads to an interesting …

Purpose: Magnetic resonance imaging (MRI) often suffers from apparent noise during image
acquisition and transmission. The degraded data can easily result in nonrobust …

We propose a sparse representation based model to restore an image corrupted by blurring
and Rician noise. Our model is composed of a nonconvex data-fidelity term and two …

We investigate a family of bilevel imaging learning problems where the lower-level instance
corresponds to a convex variational model involving first-and second-order nonsmooth …

We develop block structure adapted primal-dual algorithms for non-convex non-smooth
optimisation problems whose objectives can be written as compositions $ G (x)+ F (K (x)) …

Magnetic resonance (MR) images suffer from noise introduced by various sources. Due to
this noise, diagnosis remains inaccurate. Thus, removal of noise becomes a very important …

We investigate a family of bilevel imaging learning problems where the lower-level instance
corresponds to a convex variational model involving first-and second-order nonsmooth …