Fundamentals of Digital Imaging
eBook - PDF

Fundamentals of Digital Imaging

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Fundamentals of Digital Imaging

About this book

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.

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Yes, you can access Fundamentals of Digital Imaging by H. J. Trussell,M. J. Vrhel in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Graphics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Title
  4. Copyright
  5. Deadication
  6. Contents
  7. Preface
  8. Acknowledgments
  9. 1 Introduction
  10. 2 Mathematical representation
  11. 3 Elementary display of images
  12. 4 Quantization
  13. 5 Frequency domain representation
  14. 6 Spatial sampling
  15. 7 Image characteristics
  16. 7.4.1 Prediction regions
  17. 7.4.2 Determining prediction coefficients
  18. 7.4.3 Filtered noise
  19. 7.5 Problems
  20. 8 Photometry and colorimetry
  21. 9 Color sampling
  22. 10 Image input devices
  23. 11 Image output devices and methods
  24. 12 Characterization of devices
  25. 13 Estimation of image model parameters
  26. 14 Image restoration
  27. A Generalized functions and sampling representation
  28. B Digital image manipulation and matrix representation
  29. C Stochastic images
  30. D Multidimensional look-up tables
  31. E Psychovisual properties
  32. References
  33. Index