Theoretical Foundations of Digital Imaging Using MATLAB�

AvLeonid P. Yaroslavsky

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PDF, Engelska, 2012

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Beskrivning

Helping readers master digital imaging, this text presents a unified theoretical basis for understanding and designing methods of imaging and image processing. Designed for newcomers to imaging science and engineering, the book covers the subject in its entirety, from image formation to image perfecting. The author avoids using heavy mathematics and derives all formulas in full detail. To facilitate a deeper understanding of the major results, the book includes a number of exercises supported by MATLAB programs.

Produktinformation

Utgivningsdatum:2012-11-26
Språk:Engelska
Filformat:PDF
Kopieringsskydd:LCP
ISBN:9781466592193
Förlag:Taylor & Francis Inc
Serie:Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series

Utforska kategorier

Övrig teknik och tillämpad vetenskap inom Naturvetenskap och teknik

Mer om författaren

Leonid P. Yaroslavsky is a professor emeritus at Tel Aviv University. A fellow of the Optical Society of America, Dr. Yaroslavsky has authored more than 100 papers on digital image processing and digital holography.

Recensioner i media

"This seminal and highly influential monograph focuses on concrete phenomena for understanding and designing methods of imaging and image processing. ... The reader will find a careful discussion of computational imaging, standard material about image reconstruction from sparse sampled data, description of statistically optimal estimation of image numerical parameters, and a presentation of various exercises supported by MATLAB programs." -Christian Brosseau, Optics & Photonics News

Innehållsförteckning

Introduction. Mathematical Preliminaries. Image Digitization. Discrete Signal Transformations. Digital Image Formation and Computational Imaging. Image Resampling and Building Continuous Image Models. Image Parameter Estimation: Case Study-Localization of Objects in Images. Image Perfecting. Index.