Principles of Digital Image Processing

This book provides a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a foundation on which to build and practitioners in search of critical analysis and modern - plementations 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 exible 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.

One approach to learning a new language is to become conversant in the core vocabulary and to start using it right away. At first, you may only know how to ask for directions, order coffee, and so on, but once you become confident with the core, you will start engaging others in "conversations" and rapidly learn how to get things done. This step-by-step approach works equally well in many areas of science and engineering.

In this first volume, ostentatiously titled Fundamental Techniques,we have attempted to compile the core "vocabulary" of digital image processing, starting from the basic concepts and elementary properties of digital images through simple statistics and point operations, fundamental altering techniques, localization of edges and contours, and basic operations on color images. Mastering these most commonly used techniques and algorithms will enable you to start being productive right away.