By Jean-Luc Starck,Fionn Murtagh,Jalal Fadili

This completely up-to-date re-creation provides cutting-edge sparse and multiscale picture and sign processing. It covers linear multiscale geometric transforms, reminiscent of wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms in response to the median and mathematical morphology operators. besides an up to date description of required computation, it covers the newest leads to inverse challenge fixing and regularization, sparse sign decomposition, blind resource separation, in-painting, and compressed sensing. New chapters and sections disguise multiscale geometric transforms for third-dimensional information (data cubes), information at the sphere (geo-located data), dictionary studying, and nonnegative matrix factorization. The authors wed concept and perform in analyzing purposes in components reminiscent of astronomy, together with fresh effects from the eu area Agency's Herschel project, biology, fusion physics, chilly darkish topic simulation, clinical MRI, electronic media, and forensics. MATLAB® and IDL code, to be had on-line at, accompany those equipment and all applications.

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Sparse Image and Signal Processing: Wavelets and Related Geometric Multiscale Analysis by Jean-Luc Starck,Fionn Murtagh,Jalal Fadili

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