Compression, 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, a...

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Bibliographic Details

Main Author:	Hoggar, S. G. (Author)
Format:	Electronic eBook
Language:	English
Published:	Cambridge Cambridge University Press 2006
Subjects:	Mathematik Image processing / Digital techniques / Mathematics Mathematisches Modell Bildverarbeitung Computergrafik
Online Access:	BSB01 FHN01 Volltext
Summary:	Compression, 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
Item Description:	Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Physical Description:	1 online resource (xxxii, 854 pages)
ISBN:	9780511810787
DOI:	10.1017/CBO9780511810787