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Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity Hardcover – 10 May 2010


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Product details

  • Hardcover: 336 pages
  • Publisher: Cambridge University Press (10 May 2010)
  • Language: English
  • ISBN-10: 0521119138
  • ISBN-13: 978-0521119139
  • Product Dimensions: 21.5 x 2.4 x 25.3 cm
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: 2,513,276 in Books (See Top 100 in Books)
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Product description

Review

'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 and IDL code for each chapter. A detailed list of the references provides further exploration of recent publications in the area. The book's contents are well prepared for graduate-level students or advanced undergraduates who work in the field of image and signal processing or computer science. The book is also an indispensable resource for professionals looking to adopt innovative concepts for improving the performance of image processing.' Yan Gao, Optics and Photonics News

'This is an excellent book devoted to an important domain of contemporary science, where the activity includes the following stages: research, theory and publication and the verification of results by the scientific community.' D. Stanomir, Mathematical Reviews

'… effective in delivering a concise overview of the field. The book can be highly useful for researchers and graduate students in engineering and science who are looking for research ideas or are interested in applying the techniques to their application domains … a welcome addition to the image processing library.' T. Kubota, Computing Reviews

Book Description

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.

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