Sparse image and signal processing

About this book

"Presenting the state of the art in sparse and multiscale image and signal processing, this book weds theory and practice to examine their applications in a diverse range of fields"--Provided by publisher. "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 non-linear multiscale transforms based on the median and mathematical morphology operators. Recent concepts of sparsity and morphological diversity are described and exploited for various problems such as denoising, inverse problem regularization, sparse signal decomposition, blind source separation, and compressed sensing. This book weds theory and practice in examining applications in areas such as astronomy, biology, physics, digital media, and forensics. A final chapter explores a paradigm shift in signal processing, showing that previous limits to information sampling and extraction can be overcome in very significant ways. Matlab and IDL code accompany these methods and applications to reproduce the experiments and illustrate the reasoning and methodology of the research available for download at the associated Web site"--Provided by publisher.

Themes & subjects

About the author

Fionn Murtagh

1954

Fionn Murtagh, BA, BAI, MSc(Dubl), PhD(Paris), Habil.(Strasbourg), is a member of the Royal Irish Academy. Following roles as Head of Department and Head of School in other universities, Fionn Murtagh is Professor of Data Science at the School of Computing and Engineering in the University of Huddersfield, West Yorkshire, England, and is Director of, to be established, the Institute of Mathematics and Data Science at the University of Huddersfield. Source: [Royal Irish Academy](https://www.ria.ie/fionn-d-murtagh)