We present an overview of various edge and line oriented approaches to contour detection
that have been proposed in the last two decades. By edge and line oriented we mean …

With information and scale as central themes, this comprehensive survey explains how to
handle real problems in astronomical data analysis using a modern arsenal of powerful …

This book presents the state of the art in sparse and multiscale image and signal processing,
covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and …

Imaging is an interdisciplinary research area with profound applications in many areas of
science, engineering, technology, and medicine. The most primitive form of imaging is visual …

No time in human history has ever witnessed such explosive influence and impact of image
processing on modern society, sciences, and technologies. From nanotechnologies …

The separation of image content into semantic parts plays a vital role in applications such as
compression, enhancement, restoration, and more. In recent years, several pioneering …

A very fast noniterative algorithm is proposed for denoising or smoothing one-dimensional
discrete signals, by solving the total variation regularized least-squares problem or the …

This paper describes the undecimated wavelet transform and its reconstruction. In the first
part, we show the relation between two well known undecimated wavelet transforms, the …

This paper explores various aspects of the image decomposition problem using modern
variational techniques. We aim at splitting an original image f into two components u and ρ …

We review the evolution of the nonparametric regression modeling in imaging from the local
Nadaraya-Watson kernel estimate to the nonlocal means and further to transform-domain …