机读格式显示(MARC)
- 000 02874cam a2200385 a 4500
- 008 091109s2010 enkaf b 001 0 eng
- 016 7_ |a 015522135 |2 Uk
- 020 __ |a 9780521119139 (hardback)
- 020 __ |a 0521119138 (hardback)
- 035 __ |a (OCoLC)ocn471237449
- 040 __ |a DLC |c DLC |d YDXCP |d C#P |d UKM |d BWX |d CDX |d DLC
- 050 00 |a QA601 |b .S785 2010
- 100 1_ |a Starck, J.-L |q (Jean-Luc), |d 1965-
- 245 10 |a Sparse image and signal processing : |b wavelets, curvelets, morphological diversity / |c Jean-Luc Starck, Fionn Murtagh, Jalal M. Fadili.
- 260 __ |a Cambridge ; |a New York : |b Cambridge University Press, |c 2010.
- 300 __ |a xvii, 316 p., [16] p. of plates : |b ill. (some col.) ; |c 27 cm.
- 520 __ |a "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.
- 520 __ |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 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.
- 504 __ |a Includes bibliographical references and index.
- 505 0_ |a 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.
- 650 _0 |a Transformations (Mathematics)
- 650 _0 |a Signal processing.
- 650 _0 |a Image processing.
- 650 _0 |a Sparse matrices.
- 650 _0 |a Wavelets (Mathematics)
- 700 1_ |a Murtagh, Fionn.
- 700 1_ |a Fadili, Jalal M., |d 1973-