Table of Contents

• 1 Introduction
• 1.1 What is Digital Image Processing?
• 1.2 The Origins of Digital Image Processing
• 1.3 Examples of Fields that Use Digital Image Processing
• 1.4 Fundamental Steps in Digital Image Processing
• 1.5 Components of an Image Processing System
• 2 Digital Image Fundamentals
• 2.1 Elements of Visual Perception
• 2.2 Light and the Electromagnetic Spectrum
• 2.3 Image Sensing and Acquisition
• 2.4 Image Sampling and Quantization
• 2.5 Some Basic Relationships Between Pixels
• 2.6 Introduction to the Basic Mathematical Tools Used in Digital Image Processing
• 3 Intensity Transformations and Spatial Filtering
• 3.1 Background
• 3.2 Some Basic Intensity Transformation Functions
• 3.3 Histogram Processing
• 3.4 Fundamentals of Spatial Filtering
• 3.5 Smoothing (Lowpass) Spatial Filters
• 3.6 Sharpening (Highpass) Spatial Filters
• 3.7 Highpass, Bandreject, and Bandpass Filters from Lowpass Filters
• 3.8 Combining Spatial Enhancement Methods
• 3.9 Using Fuzzy Techniques for Intensity Transformations and Spatial Filtering
• 4 Filtering in the Frequency Domain
• 4.1 Background
• 4.2 Preliminary Concepts
• 4.3 Sampling and the Fourier Transform of Sampled Functions
• 4.4 The Discrete Fourier Transform of One Variable
• 4.5 Extensions to Functions of Two Variables
• 4.6 Some Properties of the 2-D DFT and IDFT
• 4.7 The Basics of Filtering in the Frequency Domain
• 4.8 Image Smoothing Using Lowpass Frequency Domain Filters
• 4.9 Image Sharpening Using Highpass Filters
• 4.10 Selective Filtering
• 4.11 The Fast Fourier Transform
• 5 Image Restoration and Reconstruction
• 5.1 A Model of the Image Degradation/Restoration Process
• 5.2 Noise Models
• 5.3 Restoration in the Presence of Noise Only—Spatial Filtering
• 5.4 Periodic Noise Reduction Using Frequency Domain Filtering
• 5.5 Linear, Position-Invariant Degradations
• 5.6 Estimating the Degradation Function
• 5.7 Inverse Filtering
• 5.8 Minimum Mean Square Error (Wiener) Filtering
• 5.9 Constrained Least Squares Filtering
• 5.10 Geometric Mean Filter
• 5.11 Image Reconstruction from Projections
• 6 Wavelet and Other Image Transforms
• 6.1 Preliminaries
• 6.2 Matrix-based Transforms
• 6.3 Correlation
• 6.4 Basis Functions in the Time-Frequency Plane
• 6.5 Basis Images
• 6.6 Fourier-Related Transforms
• 6.7 Walsh-Hadamard Transforms
• 6.8 Slant Transform
• 6.9 Haar Transform
• 6.10 Wavelet Transforms
• 7 Color Image Processing
• 7.1 Color Fundamentals
• 7.2 Color Models
• 7.3 Pseudocolor Image Processing
• 7.4 Basics of Full-Color Image Processing
• 7.5 Color Transformations
• 7.6 Color Image Smoothing and Sharpening
• 7.7 Using Color in Image Segmentation
• 7.8 Noise in Color Images
• 7.9 Color Image Compression
• 8 Image Compression and Watermarking
• 8.1 Fundamentals
• 8.2 Huffman Coding
• 8.3 Golomb Coding
• 8.4 Arithmetic Coding
• 8.5 LZW Coding
• 8.6 Run-length Coding