Purpose To investigate four‐dimensional flow denoising using the divergence‐free wavelet
(DFW) transform and compare its performance with existing techniques. Theory and …

With smart devices being an essential part of our everyday lives, unsupervised access to the
mobile sensors' data can result in a multitude of side-channel attacks. In this paper, we study …

Cardiac four‐dimensional phase‐contrast magnetic resonance imaging (4D PC‐MRI)
acquisitions have gained increasing clinical interest in recent years. They allow to non …

This work is concerned with the ill-posed inverse problem of estimating turbulent flows from
the observation of an image sequence. From a Bayesian perspective, a divergence-free …

We propose a new variational framework for the problem of reconstructing flow fields from
noisy measurements. The formalism is based on regularizers penalizing the singular values …

In this work, we present an efficient optic flow algorithm for the extraction of vertically
resolved 3D atmospheric motion vector (AMV) fields from incomplete hyperspectral image …

Atmospheric motion vectors (AMVs) extracted from satellite imagery are the only wind
observations with good global coverage. They are important features for feeding numerical …

Vector field electron tomography (VFET) is extensively used for three-dimensional (3-D)
imaging of magnetic materials at nanometer resolutions. The conventional approach is to …

We introduce a novel variational framework for the regularized reconstruction of time-
resolved volumetric flow fields. Our objective functional takes the physical characteristics of …

Traction Force Microscopy (TFM) is a technique widely used to recover cellular tractions
from the deformation they cause in their surrounding substrate. Traction recovery is an ill …