Burger W., Burge M.J. Principles of Digital Image Processing. Core Algorithms

Springer, 2009. — 336 p. — (Undergraduate Topics in Computer Science).This is the second volume of a book series that provides a modern, algorithmic introduction to digital image processing. It is designed to be used both by learners desiring a firm foundation on which to build and practitioners in search of critical analysis and modern implementations of the most important techniques. This updated and enhanced paperback edition of our comprehensive textbook Digital Image Processing: An Algorithmic Approach Using Java packages the original material into a series of compact volumes, thereby supporting a flexible sequence of courses in digital image processing. Tailoring the contents to the scope of individual semester courses is also an attempt to provide affordable (and backpack-compatible) textbooks without comprimising the quality and depth of content.
This second volume, titled Core Algorithms, extends the introductory material presented in the first volume (Fundamental Techniques) with additional techniques that are, nevertheless, part of the standard image processing toolbox. A forthcoming third volume (Advanced Techniques) will extend this series and add important material beyond the elementary level, suitable for an advanced undergraduate or even graduate course.Regions in Binary Images
Detecting Simple Curves
Corner Detection
Color Quantization
Colorimetric Color Spaces
Introduction to Spectral Techniques
The Discrete Fourier Transform in 2D
The Discrete Cosine Transform (DCT)
Geometric Operations
Comparing Images
Mathematical Notation
Source Code