Theoretical Foundations of Digital Imaging Using MATLAB®

Leonid P. Yaroslavsky

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English

CRC Press
30 September 2020

Applied mathematics; Light (optics); Electrical engineering; Environmental science, engineering & technology; Image processing

Series: Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series

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.

By: Leonid P. Yaroslavsky
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 952g
ISBN: 9780367866266
ISBN 10: 0367866269
Series: Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series
Pages: 493
Publication Date: 30 September 2020
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Active

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.

Reviews for Theoretical Foundations of Digital Imaging Using MATLAB®

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 this is an excellent in-depth review of the fundamentals of digital imaging, best read for its general foundational content -Contemporary Physics (Aug 2016)