Digital Image Processing is a third generation book that builds on two highly successful earlier editions and the authors' twenty years of academic and industrial experience in image processing. The book provides an introduction to basic concepts and methodologies for image processing and develops the foundation for further study in this diverse and rapidly evolving field. the topics covered range from enhancement and restoration to image encoding, segmentation, description, recognition, and interpretation. These topics are illustrated by numerous computer-processed images. A manual, available to instructors, contains solutions to all problems, curriculum guidelines, and project suggestions.

New Features

• A new chapter on image recognition and interpretation

• Extensive new sections on image morphology, neural networks, and knowledge-based image analysis

• A comprehensive development of color models for image processing

• A new look at image data compression, reflecting new trends in this important field, such as document image compression and data compression standards

• An expanded bibliography and additional problems at the end of each chapter

• Revised coverage of some traditional topics and new examples using images of high resolution

Preface

Chapter 1: Introduction

Chapter 2: Digital Image Fundamentals

Chapter 3: Image Transforms

Chapter 4: Image Enhancement

Chapter 5: Image Restoration

Chapter 6: Image Compression

Chapter 7: Image Segmentation

Chapter 8: Representation and Description

Chapter 9: Recognition and Interpretation

Appendix A: Generation of Halftone Images

Appendix B: Coded Images

Bibliography

Index