eBook - PDF

Sparse Image and Signal Processing

Name: Sparse Image and Signal Processing
Author: Jean-Luc Starck,Fionn Murtagh,Jalal M. Fadili

Wavelets, Curvelets, Morphological Diversity

Jean-Luc Starck,

Fionn Murtagh,

Jalal M. Fadili,

English
PDF
Available on iOS & Android

eBook - PDF

Sparse Image and Signal Processing

Wavelets, Curvelets, Morphological Diversity

Jean-Luc Starck,

Fionn Murtagh,

Jalal M. Fadili,

About this book

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 are available for download at the associated web site.

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Yes, you can access Sparse Image and Signal Processing by Jean-Luc Starck,Fionn Murtagh,Jalal M. Fadili in PDF and/or ePUB format, as well as other popular books in Informatique & Infographie. We have over one million books available in our catalogue for you to explore.