Theoretical Foundations of Digital Imaging Using MATLAB

Leonid P. Yaroslavsky (Autor)

Buch | Hardcover

493 Seiten

2012
Crc Press Inc (Verlag)
978-1-4398-6140-0 (ISBN)

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With the ubiquitous use of digital imaging, a new profession has emerged: imaging engineering. Designed for newcomers to imaging science and engineering, Theoretical Foundations of Digital Imaging Using MATLAB® treats the theory of digital imaging as a specific branch of science. It covers the subject in its entirety, from image formation to image perfecting.

Based on the author’s 50 years of working and teaching in the field, the text first addresses the problem of converting images into digital signals that can be stored, transmitted, and processed on digital computers. It then explains how to adequately represent image transformations on computers. After presenting several examples of computational imaging, including numerical reconstruction of holograms and virtual image formation through computer-generated display holograms, the author introduces methods for image perfect resampling and building continuous image models. He also examines the fundamental problem of the optimal estimation of image parameters, such as how to localize targets in images. The book concludes with a comprehensive discussion of linear and nonlinear filtering methods for image perfecting and enhancement.

Helping you master digital imaging, this book presents a unified theoretical basis for understanding and designing methods of imaging and image processing. To facilitate a deeper understanding of the major results, it offers a number of exercises supported by MATLAB programs, with the code available at www.crcpress.com.

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.

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.

Erscheint lt. Verlag	18.1.2013
Reihe/Serie	Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series
Zusatzinfo	9 Tables, black and white; 183 Illustrations, black and white
Verlagsort	Bosa Roca
Sprache	englisch
Maße	156 x 234 mm
Gewicht	839 g
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Naturwissenschaften ► Physik / Astronomie ► Optik
	Technik ► Elektrotechnik / Energietechnik
	Technik ► Umwelttechnik / Biotechnologie
ISBN-10	1-4398-6140-4 / 1439861404
ISBN-13	978-1-4398-6140-0 / 9781439861400
Zustand	Neuware