Introduction to digital imaging covering core techniques of image capture and the display of monochrome and color images. Basic tools required to describe sampling and image display on real devices are presented within a powerful mathematical framework. Starting with an overview of digital imaging, mathematical representation, and the elementary display of images, the topics progressively move to quantization, spatial sampling, photometry and colorimetry, and color sampling, and conclude with the estimation of image model parameters, and image restoration. The characterization of input and output devices is also covered. The reader will learn the processes used to generate accurate images, and appreciate the mathematical basis required to test and evaluate new devices. Contains illustrations, real-world examples, and end-of-chapter homework problems. Suitable for advanced undergraduate and graduate courses in digital imaging in electrical engineering and computer science departments. Also invaluable for practitioners in the industry. Instructor resources are available online at www.cambridge.org/9780521868532.
- Covers image capture and the display of monochrome and color images - core topics that are often overlooked
- Uses real-world applications to balance the mathematical descriptions of real problems
- Instructor-only solutions, MATLAB scripts, and reference data for problems are available online at www.cambridge.org/9780521868532
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Product details
- Date Published: October 2008
- format: Hardback
- isbn: 9780521868532
- length: 550 pages
- dimensions: 253 x 180 x 30 mm
- weight: 1.6kg
- contains: 240 b/w illus. 35 colour illus.
- availability: Available
Table of Contents
Preface
1. Introduction
2. Mathematical representation
3. Elementary display of images
4. Quantization
5. Frequency domain representation
6. Spatial sampling
7. Image characteristics
8. Photometry and colorimetry
9. Color sampling
10. Image input devices
11. Image output devices and methods
12. Characterization of devices
13. Estimation of image model parameters
14. Image restoration
Appendices: A. Generalized functions (singularity operators)
B. Digital image manipulation and matrix representation
C. Stochastic images
D. Multidimensional look-up-tables
E. Psychovisual properties.
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Instructors have used or reviewed this title for the following courses
- Digital image processing
- Fundamentals of Digital Imaging
- Higher geometry
- Ideas in Art
- Image Based Biomedical Modeling
- computer graphics
Authors
H. J. Trussell, North Carolina State University
H. J. Trussell is a professor and director of graduate programs in the Electrical and Computer Engineering Department at North Carolina State University. Having been awarded his PhD from the University of New Mexico, in 1976, he has many years' experience in academia and industry in the field, including Los Alamos National Laboratory, Heriot-Watt University in Edinburgh, Eastman Kodak Company in Rochester New York, and Color Savvy Systems in Ohio. His areas of specific research in image and signal processing include estimation theory, color image capture and reproduction, and image restoration. A Fellow of the IEEE, he is the recipient of two Best Paper awards with his students for papers published in the IEEE Transactions.
M. J. Vrhel, Artifex Software Inc., Washington
M.J.Vrhel is a founder of Pagemark Technology Inc. in Redmond Washington, where he is currently the Imaging Scientist. He was awarded his PhD from North Carolina State University in 1993; during his PhD, he was an Eastman Kodak Fellow. He has many years' experience working in digital imaging, including biomedical imaging and signal processing at NIH; color instrument and color software design at Color Savvy Systems Ltd, and positions at ViewAhead Technology, Conexant Systems and TAK Imaging. A senior member of the IEEE, he has a number of current and pending patents and is the author of numerous papers in the areas of image and signal processing. At the time of publication, he serves on the Board of Directors of the InterSociety Color Council.

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Fundamentals of Digital Imaging

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