000			02178nam a22003138i 4500
001			CR9780511810787
003			UkCbUP
005			20201015164254.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			141103s2006||||enk o ||1 0|eng|d
020			_a9780511810787 (ebook)
020			_z9780521780292 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aTA1637 _b.H64 2006
082	0	0	_a621.3670151 _222
100	1		_aHoggar, S. G., _eauthor.
245	1	0	_aMathematics of digital images : _bcreation, compression, restoration, recognition / _cS.G. Hoggar.
264		1	_aCambridge : _bCambridge University Press, _c2006.
300			_a1 online resource (xxxii, 854 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).
520			_aCompression, restoration and recognition are three of the key components of digital imaging. The mathematics needed to understand and carry out all these components are explained here in a style that is at once rigorous and practical with many worked examples, exercises with solutions, pseudocode, and sample calculations on images. The introduction lists fast tracks to special topics such as Principal Component Analysis, and ways into and through the book, which abounds with illustrations. The first part describes plane geometry and pattern-generating symmetries, along with some on 3D rotation and reflection matrices. Subsequent chapters cover vectors, matrices and probability. These are applied to simulation, Bayesian methods, Shannon's information theory, compression, filtering and tomography. The book will be suited for advanced courses or for self-study. It will appeal to all those working in biomedical imaging and diagnosis, computer graphics, machine vision, remote sensing, image processing and information theory and its applications.
650		0	_aImage processing _xDigital techniques _xMathematics.
776	0	8	_iPrint version: _z9780521780292
856	4	0	_uhttps://doi.org/10.1017/CBO9780511810787
999			_c121161 _d121161