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Table of Contents
- Chapter 1 - Fundamentals of Digital Image Processing
- 1.3 - Building Blocks of a Digital Image Processing System
- Chapter 2 - Digital Image Representation
- 2.4 - Basic Relationship between Pixels
- Chapter 3 - Image Transforms
- 3.4 - Properties of Fourier Transform
- 3.5 - Fast Fourier Transform
- 3.6 - Discrete Cosine Transform
- Chapter 4 - Image Enhancement
- 4.2 - Spatial Domain and Frequency Domain Approaches
- 4.3 - Spatial Domain Techniques
- 4.4 - Spatial Filtering
- 4.5 - Frequency Domain
- 4.6 - Gray Level to Color Transformation
- Chapter 5 - Image Compression
- 5.8 - Information Theory
- 5.10 - Huffman Coding
- 5.11 - Lossy Compression Techniques
- 5.13 - Vector Quantization
- 5.15 - Image Compression Using Neural Networks
- Chapter 6 - Image Segmentation
- 6.4 - Edge Detection
- 6.5 - Edge Linking and Boundary Detection
- 6.6 - Region-Oriented Segmentation
- 6.7 - Segmentation using Threshold
- Chapter 7 - Image Restoration
- 7.11 - Constrained Least Squares Restoration
- Chapter 8 - Image Representation and Description
- 8.8 - Region Representation
- 8.11 - Texture
- Chapter 9 - Pattern Classification Methods
- 9.2 - Statistical Pattern Classification Methods
- 9.4 - ANN Approaches in Pattern Classification
- 9.5 - Supervised Feedforward Fuzzy Neural Network
- 9.6 - Syntactic Pattern Recognition
- 9.9 - Image Knowledge Base