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Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity

Jean-Luc Starck, Fionn Murtagh, Jalal M. Fadili




[PDF.sl53] Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity

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 | #2304129 in Books |  2010-05-10 | Original language:English | PDF # 1 |  9.96 x.94 x8.46l,1.75 | File type: PDF | 336 pages

||1 of 1 people found the following review helpful.| Excellent introduction to CS applications|By Salvador Canales|Excellent material to start learning about Compressive sampling and its basic concepts as well as it's a good introduction for wavelets and curvelets.|9 of 9 people found the following review helpful.| Excellent Resource on Sparsity-Based Algorithms and Wavelet Theory|By Mic| |"This book is well organized, and it covers the theory and application of multiscale imaging and image processing. The authors provide Matlab algorithms for wavelet, ridgelet and curvelet transformations, as well as numerical experiments with detailed Matlab a

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 sour...

You can specify the type of files you want, for your device.Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity   |  Jean-Luc Starck, Fionn Murtagh, Jalal M. Fadili. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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