000			02892nam a22004218i 4500
001			CR9780511730344
003			UkCbUP
005			20200124160301.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			100308s2010||||enk o ||1 0|eng|d
020			_a9780511730344 (ebook)
020			_z9780521119139 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQA601 _b.S785 2010
082	0	0	_a621.36/7 _222
100	1		_aStarck, J.-L _q(Jean-Luc), _d1965- _eauthor.
245	1	0	_aSparse image and signal processing : _bwavelets, curvelets, morphological diversity / _cJean-Luc Starck, Fionn Murtagh, Jalal M. Fadili.
246	3		_aSparse Image & Signal Processing
264		1	_aCambridge : _bCambridge University Press, _c2010.
300			_a1 online resource (xvii, 316 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_aIntroduction 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.
520			_aThis 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 are available for download at the associated web site.
650		0	_aTransformations (Mathematics)
650		0	_aSignal processing.
650		0	_aImage processing.
650		0	_aSparse matrices.
650		0	_aWavelets (Mathematics)
650		0	_aCompressed sensing (Telecommunication)
700	1		_aMurtagh, Fionn, _eauthor.
700	1		_aFadili, Jalal M., _d1973- _eauthor.
776	0	8	_iPrint version: _z9780521119139
856	4	0	_uhttps://doi.org/10.1017/CBO9780511730344
999			_c520362 _d520360