Our systems are now restored following recent technical disruption, and we’re working hard to catch up on publishing. We apologise for the inconvenience caused. Find out more

Recommended product

Popular links

Popular links


Fundamentals of Digital Imaging

Fundamentals of Digital Imaging

Fundamentals of Digital Imaging

H. J. Trussell, North Carolina State University
M. J. Vrhel, Artifex Software Inc., Washington
October 2008
Available
Hardback
9780521868532
£105.00
GBP
Hardback
USD
eBook

    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

    Product details

    October 2008
    Hardback
    9780521868532
    550 pages
    253 × 180 × 30 mm
    1.6kg
    240 b/w illus. 35 colour illus.
    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.
    Resources for
    Type
    Data files for use with the book
    Size: 1.35 MB
    Type: application/zip
    Errata
    Size: 13.5 KB
    Type: application/vnd.ms-excel
    Solutions
    Size: 3.96 MB
    Type: application/zip
    Sign inThis resource is locked and access is given only to lecturers adopting the textbook for their class. We need to enforce this strictly so that solutions are not made available to students. To gain access to locked resources you either need first to sign in or register for an account.
      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.