杭州电子科技大学图书馆书目检索系统

Online Public Access Catalogue

题名/责任者:

Sparse image and signal processing : wavelets, curvelets, morphological diversity / Jean-Luc Starck, Fionn Murtagh, Jalal M. Fadili.

出版发行项:

Cambridge ; New York : Cambridge University Press, 2010.

ISBN:

9780521119139 (hardback)

ISBN:

0521119138 (hardback)

载体形态项:

xvii, 316 p., [16] p. of plates : ill. (some col.) ; 27 cm.

个人责任者:

Starck, J.-L (Jean-Luc), 1965-

附加个人名称:

Murtagh, Fionn.

附加个人名称:

Fadili, Jalal M., 1973-

论题主题:

Transformations (Mathematics)

论题主题:

Signal processing.

论题主题:

Image processing.

论题主题:

Sparse matrices.

论题主题:

Wavelets (Mathematics)

中图法分类号:

TN911.73

书目附注:

Includes bibliographical references and index.

内容附注:

Introduction to the world of sparsity -- The wavelet transform -- Redundant wavelet transform -- Nonlinear multiscale transforms -- The ridgelet and curvelet transforms -- Sparsity and noise removal -- Linear inverse problems -- Morphological diversity -- Sparse blind source separation -- Multiscale geometric analysis on the sphere -- Compressed sensing.

摘要附注:

"Presenting the state of the art in sparse and multiscale image and signal processing, this book weds theory and practice to examine their applications in a diverse range of fields"--Provided by publisher.

摘要附注:

"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 available for download at the associated Web site"--Provided by publisher.

豆瓣简介：