Introduction to Digital Image Processing

The subject of digital image processing has migrated from a graduate to a junior or senior level course as students become more proficient in mathematical background earlier in their college education. With that in mind, Introduction to Digital Image Processing is simpler in terms of mathematical derivations and eliminates derivations of advanced subjects. Most importantly, the textbook contains an extensive set of programming exercises for students.

The textbook examines the basic technologies needed to support image processing applications, including the characterization of continuous images, image sampling and quantization techniques, and two-dimensional signal processing techniques. It then covers the two principle areas of image processing: image enhancement and restoration techniques and extraction of information from an image. It concludes with discussions of image and video compression.

• Covers the mathematical representation of continuous images and discrete images
• Discusses the psychophysical properties of human vision
• Analyzes and compares linear processing techniques implemented by direct convolution and Fourier domain filtering
• Details restoration models, point and spatial restoration and geometrical image modification
• Includes morphological image processing, edge detection, image feature extraction, image segmentation, object shape analysis, and object detection
• Describes coding technique applicable to still image and video coding based upon point and spatial processing
• Outlines the widely adopted JPEG and MPEG still image and video coding standards

The author’s accessible style provides historical background on the development of image processing techniques as well as a theoretical exposition. The inclusion of numerous exercises fully prepares students for further study.

Table of Contents

Part 1 Continuous Image Characterization
Chapter 1 Continuous Image Mathematical Characterization
Chapter 2 Psychophysical Vision Properties
Chapter 3 Introduction To Digital Image Processing
Part 2 Digital Image Characterization
Chapter 4 Image Sampling And Reconstruction
Chapter 5 Image Quantization
Part 3 Discrete Two-dimensional Processing
Chapter 6 Discrete Image Mathematicalcharacterization
Chapter 7: Superpositional and Convolution
Chapter 8 Unitary And Wavelet Transforms
Chapter 9 Linear Processing Techniques
Part 4 Image Improvement
Chapter 10 Image Enhancement
Chapter 11 Image Restoration
Chapter 12 Geometrical Image Modification
Part 5 Image Analysis
Chapter 13 Morphological Image Processing
Chapter 14 Edge Detection
Chapter 15 Image Feature Extraction
Chapter 16 Image Segmentation
Chapter 17 Shape Analysis
Chapter 18 Image Detection And Registration
Part 6 Image And Video Compression
Chapter 19 Point Processing Image Compression
Chapter 20 Spatial Processing Image Compression
Chapter 21 Video Compression
Appendix 1 Vector-space Algebra Concepts
Appendix 2 Image Error Measures
Appendix 3 Image And Video Compression Standards Development
Appendix 4 Huffman Coding Example