Theoretical Foundations of Digital Imaging Using MATLAB

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CRC Press, 2013. — 511 p.
The book is addressed to young students who opt to pursue a scientific and research career in imaging science and engineering. The most outstanding minds of mankind, such as Galileo Galilei, René Descartes, Isaac Newton, James Clerk Maxwell, and many other scientists and engineers contributed to this branch of modern science and technology. At least 12 Nobel Prizes have been awarded for contributions directly associated with image science and imaging devices, and a majority of others would not be possible without one or the other imaging methods. You will be in good company, dear reader. Let this book help you to become a master of digital imaging.
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.

Author(s): Yaroslavsky L.P.

Language: English
Commentary: 1743878
Tags: Библиотека;Компьютерная литература;Matlab / Simulink