Efnisyfirlit

• Contents
• Preface
• Acknowledgments
• The Book Website
• The DIP4E Support Packages
• About the Authors
• 1 Introduction
  • What is Digital Image Processing?
  • The Origins of Digital Image Processing
  • Examples of Fields that Use Digital Image Processing
  • Fundamental Steps in Digital Image Processing
  • Components of an Image Processing System
• 2 Digital Image Fundamentals
  • Elements of Visual Perception
  • Light and the Electromagnetic Spectrum
  • Image Sensing and Acquisition
  • Image Sampling and Quantization
  • Some Basic Relationships Between Pixels
  • Introduction to the Basic Mathematical Tools Used in Digital Image Processing
• 3 Intensity Transformations and Spatial Filtering
  • Background
  • Some Basic Intensity Transformation Functions
  • Histogram Processing
  • Fundamentals of Spatial Filtering
  • Smoothing (Lowpass) Spatial Filters
  • Sharpening (Highpass) Spatial Filters
  • Highpass, Bandreject, and Bandpass Filters from Lowpass Filters
  • Combining Spatial Enhancement Methods
• 4 Filtering in the Frequency Domain
  • Background
  • Preliminary Concepts
  • Sampling and the Fourier Transform of Sampled Functions
  • The Discrete Fourier Transform of One Variable
  • Extensions to Functions of Two Variables
  • Some Properties of the 2-D DFT and IDFT
  • The Basics of Filtering in the Frequency Domain
  • Image Smoothing Using Lowpass Frequency Domain Filters
  • Image Sharpening Using Highpass Filters
  • Selective Filtering
  • The Fast Fourier Transform
• 5 Image Restoration and Reconstruction
  • A Model of the Image Degradation/Restoration process
  • Noise Models
  • Restoration in the Presence of Noise Only—Spatial Filtering
  • Periodic Noise Reduction Using Frequency Domain Filtering
  • Linear, Position-Invariant Degradations
  • Estimating the Degradation Function
  • Inverse Filtering
  • Minimum Mean Square Error (Wiener) Filtering
  • Constrained Least Squares Filtering
  • Geometric Mean Filter
  • Image Reconstruction from Projections
• 6 Color Image Processing
  • Color Fundamentals
  • Color Models
  • Pseudocolor Image Processing
  • Basics of Full-Color Image Processing
  • Color Transformations
  • Color Image Smoothing and Sharpening
  • Using Color in Image Segmentation
  • Noise in Color Images
  • Color Image Compression
• 7 Wavelet and Other Image Transforms
  • Preliminaries
  • Matrix-based Transforms
  • Correlation
  • Basis Functions in the Time-Frequency Plane
  • Basis Images
  • Fourier-Related Transforms
  • Walsh-Hadamard Transforms
  • Slant Transform
  • Haar Transform
  • Wavelet Transforms
• 8 Image Compression and Watermarking
  • Fundamentals
  • Huffman Coding
  • Golomb Coding
  • Arithmetic Coding
  • LZW Coding
  • Run-length Coding
  • Symbol-based Coding
  • Bit-plane Coding
  • Block Transform Coding
  • Predictive Coding
  • Wavelet Coding
  • Digital Image Watermarking
• 9 Morphological Image Processing
  • Preliminaries
  • Erosion and Dilation
  • Opening and Closing
  • The Hit-or-Miss Transform
  • Some Basic Morphological Algorithms
  • Morphological Reconstruction
  • Summary of Morphological Operations on Binary Images
  • Grayscale Morphology
• 10 Image Segmentation
  • Fundamentals
  • Point, Line, and Edge Detection
  • Thresholding
  • Segmentation by Region Growing and by Region Splitting and Merging
  • Region Segmentation Using Clustering and Superpixels
  • Region Segmentation Using Graph Cuts
  • Segmentation Using Morphological Watersheds
  • The Use of Motion in Segmentation
• 11 Feature Extraction
  • Background
  • Boundary Preprocessing
  • Boundary Feature Descriptors
  • Region Feature Descriptors
  • Principal Components as Feature Descriptors
  • Whole-Image Features
  • Scale-Invariant Feature Transform (SIFT)
• 12 Image Pattern Classification
  • Background
  • Patterns and Pattern Classes
  • Pattern Classification by Prototype Matching
  • Optimum (Bayes) Statistical Classifiers
  • Neural Networks and Deep Learning
  • Deep Convolutional Neural Networks
  • Some Additional Details of Implementation
• Bibliography
• Index
• Back Cover

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