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This graduate textbook explains image geometry, and elaborates on image enhancement in spatial and frequency domain, unconstrained and constrained restoration and restoration from projection, and discusses various coding technologies such as predictive coding and transform coding. Rich in examples and exercises, it prepares electrical engineering and computer science students for further studies on image analysis and understanding.

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Table of Content:
Chapter 1 Introduction to Image Engineering
1.1 Basic Concepts of Images
1.2 Image Engineering
1.3 Organization and Overview of the Book
1.4 Summary
Problems, Further Reading
Chapter 2 Image Acquisition
2.1 Spatial Relationship in Image Formation
2.2 Image Brightness
2.3 Sampling and Quantization
2.4 Stereo Imaging
2.5 Summary
Problems, Further Reading
Chapter 3 Image Geometry
3.1 Relationships among Pixels
3.2 Distances
3.3 Image Coordinate Transformations
3.4 Distance Transforms
3.5 Geometric Transformations
3.6 General Morphic Transformations
3.7 Summary
Problems, Further Reading
Part 2 Image Processing
Chapter 4 Image Transforms
4.1 Separable and Orthogonal Transforms
4.2 The Fourier Transform
4.3 Walsh and Hadamard Transforms
4.4 Discrete Cosine Transform
4.5 Gabor Transform
4.6 Wavelet Transform
4.7 The Hotelling Transform
4.8 Radon Transform
4.1 Summary
Problems, Further Reading
Chapter 5 Image Enhancement
5.1 Image Operations
5.2 Direct Gray-Level Mapping
5.3 Histogram Transforms
5.4 Frequency Filtering
5.5 Linear Spatial Filtering
5.6 Non-Linear Spatial Filtering
5.7 Color Image Enhancement
5.8 Summary
Problems , Further Reading
Chapter 6 Image Restoration
6.1 Degradation and Noise
6.2 Degradation Model and Restoration Computation
6.3 Techniques for Unconstrained Restoration
6.4 Techniques for Constrained Restoration
6.5 Interactive Restoration
6.6 Summary
Problems, Further Reading
Chapter 7 Image Reconstruction from Projection
7.1 Modes and Principles
7.2 Reconstruction by Fourier-Inversion
7.3 Convolution and Back Projection
7.4 Algebraic Reconstruction
7.5 Combined Reconstruction
7.6 Summary
Problems, Further Reading
Chapter 8 Image Coding
8.1 Fundamentals
8.2 Variable Length Coding
8.3 Bit-Plane Coding
8.4 Predictive Coding
8.5 Transform Coding
8.6 Summary
Problems, Further Reading

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"Sehr gut zur Vertiefung geeignet." Prof. Dr. Günther Görz, Friedrich-Alexander-Universität Erlangen-Nürnberg

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Yujin Zhang, Tsinghua University, Beijing, China

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