Nonconvex nonsmooth regularization has advantages over convex regularization for
restoring images with neat edges. However, its practical interest used to be limited by the …

We consider the restoration of piecewise constant images where the number of the regions
and their values are not fixed in advance, with a good difference of piecewise constant …

Three-dimensional imaging with 2-D matrix probes is one of the most exciting recent
ultrasound innovations. Unfortunately, the number of elements of a 2-D matrix probe is often …

State-of-the-art image denoising algorithms attempt to recover natural image signals from
their noisy observations, such that the statistics of the denoised image follow the statistical …

In this paper, we address the problem of optimally placing relay nodes in a cellular network
with the aim of maximizing cell capacity. In order to accurately model interference, we use a …

This research deals with the development of a network reconfiguration on a radial
distribution system in coordinated planning in the form of a combination of optimization …

Mini-unmanned aerial vehicle (UAV)-based bistatic synthetic aperture radar (BiSAR) is
widely used due to its flexibility of system topology selection and simplicity. However, the …

Markov random field (MRF) theory has been widely applied to the challenging problem of
image segmentation. In this paper, we propose a new nontexture segmentation model using …

Simulated annealing (SA) is a generic optimization method that is quite popular because of
its ease of implementation and its global convergence properties. However, SA is widely …

A new automatic algorithm for assessing fiber‐bundle organization in the human heart using
diffusion‐tensor magnetic resonance imaging is presented. The proposed approach …