Foundations of image science

Harrison H. Barrett, Kyle J. Myers

1582 pages, parution le 01/12/2003

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Résumé

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

Vectors and operators
The dirac delta and other generalized functions
Fourier analysis
Series expansions and integral transforms
Mixed representations
Group theory
Deterministic descriptions of imaging systems
Stochastic descriptions of objects and images
Diffraction theory and imaging
Energy transport and photons
Poisson statistics and photon counting
Noise in detectors
Statistical decision theory
Image quality
Inverse problems
Planar imaging with X rays and gamma rays
Emission computed tomography
Speckle
Imaging in Fourier space
Epilogue. Frontiers in image science
Appendix A: Matrix Algebra
Appendix B: Complex Variables
Appendix C: Probability
Bibliography
Index

Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Harrison H. Barrett, Kyle J. Myers
Parution	01/12/2003
Nb. de pages	1582
Format	18,5 x 26
Couverture	Relié
Poids	2500g
Intérieur	Noir et Blanc
EAN13	9780471153009
ISBN13	978-0-471-15300-9