1st Edition

Introduction to Digital Image Processing

By William K. Pratt Copyright 2014
    764 Pages 371 B/W Illustrations
    by CRC Press

    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.

    CONTINUOUS IMAGE CHARACTERIZATION
    Continuous Image Mathematical Characterization
    Image Representation
    Two-Dimensional Systems
    Two-Dimensional Fourier Transform
    Image Stochastic Characterization

    Psychophysical Vision Properties
    Light Perception
    Eye Physiology
    Visual Phenomena
    Monochrome Vision Model
    Color Vision Model

    Photometry and Colorimetry
    Photometry
    Color Matching
    Colorimetry Concepts
    Color Spaces

    DIGITAL IMAGE CHARACTERIZATION
    Image Sampling and Reconstruction
    Image Sampling and Reconstruction Concepts
    Monochrome Image Sampling Systems
    Monochrome Image Reconstruction Systems
    Color Image Sampling Systems

    Image Quantization
    Scalar Quantization
    Processing Quantized Variables
    Monochrome and Color Image Quantization

    DISCRETE TWO-DIMENSIONAL LINEAR PROCESSING
    Discrete Image Mathematical Characterization
    Vector-Space Image Representation
    Generalized Two-Dimensional Linear Operator
    Image Statistical Characterization
    Image Probability Density Models
    Linear Operator Statistical Representation

    Superposition and Convolution
    Finite-Area Superposition and Convolution
    Sampled Image Superposition and Convolution
    Circulant Superposition and Convolution
    Superposition and Convolution Operator Relationships

    Unitary and Wavelet Transforms
    General Unitary Transforms
    Fourier Transform,
    Cosine, Sine, and Hartley Transforms
    Hadamard, Haar, and Daubechies Transforms
    Karhunen–Loeve Transform
    Wavelet Transforms

    Linear Processing Techniques
    Transform Domain
    Transform Domain Superposition
    Fast Fourier Transform Convolution
    Fourier Transform Filtering

    IMAGE IMPROVEMENT
    Image Enhancement
    Contrast Manipulation
    Histogram Modification
    Noise Cleaning
    Edge Crispening
    Color Image Enhancement
    Multispectral Image Enhancement

    Image Restoration
    Image Restoration Models
    Sensor and Display Point Nonlinearity Correction
    Continuous Image Spatial Filtering Restoration
    Pseudoinverse Spatial Image Restoration
    Statistical Estimation Spatial Image Restoration
    Multi-Plane Image Restoration

    Geometrical Image Modification
    Basic Geometrical Methods
    Spatial Warping
    Geometrical Image Resampling

    IMAGE ANALYSIS
    Morphological Image Processing
    Binary Image Connectivity
    Binary Image Hit or Miss Transformations
    Binary Image Shrinking, Thinning, Skeletonizing, and Thickening
    Binary Image Generalized Dilation and Erosion
    Binary Image Close and Open Operations
    Gray Scale Image Morphological Operations

    Edge Detection
    Edge, Line, and Spot Models
    First-Order Derivative Edge Detection
    Second-Order Derivative Edge Detection
    Edge-Fitting Edge Detection
    Luminance Edge Detector Performance
    Color Edge Detection
    Line and Spot Detection

    Image Feature Extraction
    Image Features Evaluation
    Amplitude Features
    Transform Coefficient Features
    Texture Characterization
    Texture Features
    Scale-Invariant Features

    Image Segmentation
    Amplitude Segmentation
    Clustering Segmentation
    Region Segmentation
    Boundary Segmentation
    Texture Segmentation
    Segment Labeling

    Shape Analysis
    Topological Attributes
    Distance, Perimeter, and Area Measurements
    Spatial Moments
    Shape Orientation Descriptors
    Fourier Descriptors
    Thinning and Skeletonizing

    Image Detection and Registration
    Template Matching
    Matched Filtering of Continuous Images
    Image Registration

    IMAGE AND VIDEO COMPRESSION
    Point Processing Image Compression
    Pulse Code Modulation Coding of Monochrome Images
    Statistical Coding of Monochrome Images
    Predictive Coding of Monochrome Images
    Point Processing Color Image Coding
    JPEG Lossless Image Coding

    Spatial Processing Image Compression
    Run Coding of Monochrome Images
    Interpolation Coding of Monochrome Images
    Unitary Transform Coding of Monochrome Images
    Wavelet Coding of Monochrome Images
    Spatial Processing Color Image Coding
    JPEG Baseline Image Coding Standard
    JPEG2000 Image Coding Standard

    Video Compression
    Spatial Video Coding Techniques
    Spatial/Temporal Video Coding Techniques
    MPEG - 1 Video Coding Standard
    MPEG - 2 Video Coding Standard
    MPEG - 4 Video Coding Standards

    Appendices

    Annexes

    Bibliography

    Index

    Exercises appear at the end of each chapter.

    Biography

    William K. Pratt