From Book News, Inc.
Barrett (radiology, University of Arizona) and Myers (Center for Devices & Radiological Health, Food & Drug Administration) present a comprehensive treatment of the principles, mathematics, and statistics needed to understand and evaluate imaging systems, employing the continuous-to-discrete, or CD, model of digital imaging. They present the mathematical underpinnings of image science at a level that is accessible to graduate students and practitioners working with imaging systems, then cover models and mechanisms of image formation, and discuss ways of drawing inferences from images. Case studies of specific imaging systems provide examples of how various mathematical tools developed in the book can be applied. Appendices on matrix algebra, complex variables, and probability theory are included.Copyright © 2004 Book News, Inc., Portland, OR
Review
In an article whether educational programs for imaging physicists should emphasize science of imaging rather than the technology of imaging, "The new textbook…does appear to be outstanding. It contains over 1500 pages of text, with probably about as many equations...” (Medical Physics, October 2004)
"Foundation of Image Science is comprehensive and the mathematics is rigorous and ubiquitous.” (E-Streams, Vol. 7, No. 5)
“Containing a clear, detailed and general mathematical description of image formation, representation, and quality assessment, this book will be of great interest to researches and graduate students...highly recommended.” (Medical Physics)
Review
In an article whether educational programs for imaging physicists should emphasize science of imaging rather than the technology of imaging, "The new textbook…does appear to be outstanding. It contains over 1500 pages of text, with probably about as many equations...” (Medical Physics, October 2004)
"Foundation of Image Science is comprehensive and the mathematics is rigorous and ubiquitous.” (E-Streams, Vol. 7, No. 5)
“Containing a clear, detailed and general mathematical description of image formation, representation, and quality assessment, this book will be of great interest to researches and graduate students...highly recommended.” (Medical Physics)
Book Description
Presents the mathematical underpinnings of image science at an accessible level.
* The author is a preeminent researcher in the field and the past editor of the Journal of the Optical Society of America.
* This is the first book to present material with a well defined theoretical and experimental basis.
Book Info
Presents a comprehensive treatment of the principles, mathematics, and statistics needed to understand and evaluate imaging systems. Covers image formation, mathematical foundations, image quality, applications, and includes appendices.
From the Back Cover
A comprehensive treatment of the principles, mathematics, and statistics of image science In today’s visually oriented society, images play an important role in conveying messages. From seismic imaging to satellite images to medical images, our modern society would be lost without images to enhance our understanding of our health, our culture, and our world. Foundations of Image Science presents a comprehensive treatment of the principles, mathematics, and statistics needed to understand and evaluate imaging systems. The book is the first to provide a thorough treatment of the continuous-to-discrete, or CD, model of digital imaging. Foundations of Image Science emphasizes the need for meaningful, objective assessment of image quality and presents the necessary tools for this purpose. Approaching the subject within a well-defined theoretical and physical context, this landmark text presents the mathematical underpinnings of image science at a level that is accessible to graduate students and practitioners working with imaging systems, as well as well-motivated undergraduate students. Destined to become a standard text in the field, Foundations of Image Science covers: Mathematical Foundations: Examines the essential mathematical foundations of image science Image Formation–Models and Mechanisms: Presents a comprehensive and unified treatment of the mathematical and statistical principles of imaging, with an emphasis on digital imaging systems and the use of SVD methods Image Quality: Provides a systematic exposition of the methodology for objective or task-based assessment of image quality Applications: Presents detailed case studies of specific direct and indirect imaging systems and provides examples of how to apply the various mathematical tools covered in the book Appendices: Covers the prerequisite material necessary for understanding the material in the main text, including matrix algebra, complex variables, and the basics of probability theory
About the Author
HARRISON H. BARRETT received a BS in physics from Virginia Polytechnic Institute, an MS in Physics from MIT, and a PhD in applied physics from Harvard. Dr. Barrett is a professor in the Optical Sciences Center, the Department of Radiology, and the Program in Applied Mathematics and serves as Director of the Center for Gamma-ray Imaging. The holder of twenty-three U.S. patents, he is the recipient of the IEEE Medical Imaging Scientist Award and a Humboldt Prize and the coauthor, with William Swindell, of Radiological Imaging: The Theory of Image Formation, Detection, and Processing.
KYLE J. MYERS received a BS in Mathematics and Physics from Occidental College and an MS and PhD in Optical Sciences from the University of Arizona. Dr. Myers is the Chief of the Medical Imaging and Computer Applications Branch of the Center for Devices and Radiological Health of the U.S. Food and Drug Administration. She is a member of the SPIE, the Optical Society of America, and the Medical Image Perception Society (MIPS), and recently served as cochair of the Medical Image Perception Conference sponsored by MIPS.
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