The interest of compressive sampling in ultrasound imaging has been recently extensively
evaluated by several research teams. Following the different application setups, it has been …

High-resolution ultrasound (US) image reconstruction from a reduced number of
measurements is of great interest in US imaging, since it could enhance both frame rate and …

In this work we propose a novel framework to obtain high resolution images from
compressed sensing imaging systems capturing multiple low resolution images of the same …

This paper proposes an additive watermarking on sparse or compressible coefficients of the
host image in the presence of blurring and additive noise degradation. The sparse …

In this work we propose a novel framework to obtain High Resolution (HR) images from
Compressed Sensing (CS) imaging systems capturing multiple Low Resolution (LR) images …

In this work we estimate Super Resolution (SR) images from a sequence of true color
Compressed Sensing (CS) observations. The red, green, blue (RGB) channels are sensed …

It has been recently shown that compressive sampling is an interesting perspective for fast
ultrasound imaging. This paper addresses the problem of compressive deconvolution for …

The interest of compressive sampling in ultrasound imaging has been recently extensively
evaluated by several research teams. Following the different application setups, it has been …

In this paper a general combination of sparse image priors is applied to Bayesian
Compressed Sensing (CS) reconstruction of digital images. A simultaneous deblurring and …

In this paper, we introduce a two dimensional version of the zero-attracting variable step size
LMS (ZA-VSSLMS) adaptive filter for image deconvolution. ZA-VSSLMS was proposed to …