Sparse Image and Signal Processing - Wavelets and Related Geometric Multiscale Analysis, Second Edition (Hardcover, 2nd Revised edition)

This thoroughly updated new edition presents state-of-the-art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Along with an up-to-the-minute description of required computation, it covers the latest results in inverse problem solving and regularization, sparse signal decomposition, blind source separation, in-painting, and compressed sensing. New chapters and sections cover multiscale geometric transforms for three-dimensional data (data cubes), data on the sphere (geo-located data), dictionary learning, and nonnegative matrix factorization. The authors wed theory and practice in examining applications in areas such as astronomy, including recent results from the European Space Agency's Herschel mission, biology, fusion physics, cold dark matter simulation, medical MRI, digital media, and forensics. MATLAB (R) and IDL code, available online at www.SparseSignalRecipes.info, accompany these methods and all applications.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	October 2015
Authors:	Jean-Luc Starck • Fionn Murtagh • Jalal Fadili
Dimensions:	261 x 186 x 28mm (L x W x T)
Format:	Hardcover
Pages:	428
Edition:	2nd Revised edition
ISBN-13:	978-1-107-08806-1
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > Applications of computing > Signal processing Books > Science & Mathematics > Physics > Applied physics & special topics > Astrophysics Books > Computing & IT > Applications of computing > Image processing > General
LSN:	1-107-08806-2
Barcode:	9781107088061

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