000 03290nam a22004815i 4500
001 978-0-387-92920-0
003 DE-He213
005 20140220083711.0
007 cr nn 008mamaa
008 101231s2011 xxu| s |||| 0|eng d
020 _a9780387929200
_9978-0-387-92920-0
024 7 _a10.1007/978-0-387-92920-0
_2doi
050 4 _aT57-57.97
072 7 _aPBW
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
100 1 _aScherzer, Otmar.
_eeditor.
245 1 0 _aHandbook of Mathematical Methods in Imaging
_h[electronic resource] /
_cedited by Otmar Scherzer.
264 1 _aNew York, NY :
_bSpringer New York,
_c2011.
300 _aXVIII, 455 p. 150 illus. eReference.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Part 1: Inverse Problems -- Tomography -- MR DTI -- Hybrid Methods -- Nonlinear Inverse Problems -- EIT -- Scattering -- Sampling Methods -- Expansion Methods -- Regularization Methods for Ill-Posed Problems -- Iterative Solution Methods -- Wave Phenomena -- Seismic -- Radar -- Ultrasound -- Part 2: Signal and Image Processing -- Morphological Image Processing -- Learning, Classification, Data Mining -- Partial Differential Equations -- Variational Methods for Image Analysis -- Level Set Methods Including Fast Marching Methods -- Segmentation -- Registration, Optical Flow -- Duality and Convex Minimization -- Spline, Statistics -- Wavelets -- Fourier Analysis -- Compressed Sensing -- Geometry Processing -- Compression -- Computational Geometry -- Shape Spaces -- PDEs and Variational Methods on Manifold -- References -- Subject Index.
520 _aThe Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each section within the themes covers applications (modeling), mathematics, numerical methods (using a case example) and open questions. Written by experts in the area, the presentation is mathematically rigorous. The entries are cross-referenced for easy navigation through connected topics. Available in both print and electronic forms, the handbook is enhanced by more than 150 illustrations and an extended bibliography. It will benefit students, scientists and researchers in applied mathematics. Engineers and computer scientists working in imaging will also find this handbook useful.
650 0 _aMathematics.
650 0 _aRadiology, Medical.
650 0 _aComputer vision.
650 0 _aNumerical analysis.
650 1 4 _aMathematics.
650 2 4 _aApplications of Mathematics.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aNumerical Analysis.
650 2 4 _aImaging / Radiology.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387929194
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-387-92920-0
912 _aZDB-2-SMA
999 _c105071
_d105071