Now you can keep up with the rapidly expanding digital image processing field and its growing applications in science and engineering with this timely book.

Addressing the fundamentals of the four major topics of digital image processing-representation, processing, techniques, and communicationthe book evolved out of the author's class notes for teaching introductory and advanced courses at the University of California at Davis. For an introduction to the material, the author recommends covering Chapters 1, 2 (sections 2.1 to 2.8), 3, 4, 5, 7, and 9 (sections 9.1 to 9.5). For a more advanced course, sections 2.9, 2.13, and selected topics from Chapters 6, 8, 9, 10, and 11 should be covered. Chapter 2 puts the necessary math tools at your disposal to successfully complete a study of digital image processing.

Full chapters are devoted to the following topics:

• image processing problems and techniques
• low-level representation of visual information
• image digitization
• basis images
• image enhancement techniques
• image restoration dealing with theory and algorithms for removing image degradation
• image analysis
• theory and techniques of image reconstruction
• image data compression

Over 400 pieces of art assist you in reading and understanding the book. End-of-chapter problems help you develop expertise on the relevant topics of image processing. And an annotated bibliography provides a quick survey for those wishing to pursue the topic more fully.

Introduction.

1: Two Dimensional Systems and Mathematical Preliminaries.

2: Image Perception.

3: Image Sampling and Quantization.

4: Image Transforms.

5: Image Representation by Stochastic Models.

6: Image Enhancement.

7: Image Filtering and Restoration.

8: Image Analysis and Computer Vision.

9: Image Reconstruction From Projections.

10: Image Data Compression.