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Digital Image Processing and Analysis, 4th Edition

Name: Digital Image Processing and Analysis, 4th Edition
Author: Scott E Umbaugh
ISBN: 9781000789911

by Scott E Umbaugh

December 2022

Intermediate to advanced

488 pages

16h 2m

English

CRC Press

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Cover
Half Title
Title Page
Copyright Page
Dedication Page
Table of Contents
Preface
Acknowledgments
Author
1 Digital Image Processing and Analysis
1.1 Overview1.2 Image Processing and Human Vision 1.3 Digital Imaging Systems1.4 Image Formation and Sensing1.4.1 Visible Light Imaging1.4.2 Imaging Outside the Visible Range of the EM Spectrum1.4.3 Acoustic Imaging1.4.4 Electron Imaging1.4.5 Laser Imaging1.4.6 Computer-Generated Images1.5 Image Representation1.5.1 Binary Images1.5.2 Gray-Scale Images1.5.3 Color Images1.5.4 Multispectral and Multiband Images1.5.5 Digital Image File Formats1.6 Key Points1.7 References and Further ReadingReferences1.8 Exercises

2 Image Processing Development Tools
2.1 Introduction and Overview2.2 CVIPtools Windows GUI2.2.1 Image Viewer2.2.2 Analysis Window2.2.3 Enhancement Window2.2.4 Restoration Window2.2.5 Compression Window2.2.6 Utilities Window2.2.7 Help Window2.2.8 Development Tools2.3 CVIPlab for C/C++ Programming2.3.1 Toolkit, Toolbox Libraries and Memory Management in C/C++2.3.2 Image Data and File Structures2.4 The MATLAB CVIP Toolbox2.4.1 Help Files2.4.2 M-Files2.4.3 CVIPtools for MATLAB GUI2.4.4 CVIPlab for MATLAB2.4.5 Vectorization2.4.6 Using CVIPlab for MATLAB2.4.7 Adding a Function2.4.8 A Sample Batch Processing M-File2.4.9 VIPM File Format2.5 References and Further ReadingReferences2.6 Introductory Programming Exercises2.7 Digital Image Processing and Human Vision Projects
3 Digital Image Processing and Visual Perception
3.1 Introduction3.2 Image Analysis3.2.1 Overview3.2.2 System Model3.3 Human Visual Perception3.3.1 The Human Visual System3.3.2 Spatial Frequency Resolution3.3.3 Brightness Adaptation and Perception3.3.4 Temporal Resolution3.3.5 Perception and Illusion3.4 Image Fidelity Criteria3.4.1 Objective Fidelity Measures3.4.2 Subjective Fidelity Measures3.5 Key Points3.6 References and Further ReadingReferences3.7 Exercises3.8 Supplementary Exercises
4 Discrete Transforms
4.1 Introduction and Overview4.2 Fourier Transform4.2.1 The One-Dimensional Discrete Fourier Transform4.2.2 Two-Dimensional Discrete Fourier Transform4.2.3 Fourier Transform Properties4.2.3.1 Linearity4.2.3.2 Convolution4.2.3.3 Translation4.2.3.4 Modulation4.2.3.5 Rotation4.2.3.6 Periodicity4.2.3.7 Sampling and Aliasing4.2.4 Displaying the Discrete Fourier Spectrum4.3 Discrete Cosine Transform4.4 Discrete Walsh–Hadamard Transform4.5 Discrete Haar Transform4.6 Principal Components Transform4.7 Key Points4.8 References and Further ReadingReferences4.9 Exercises4.10 Supplementary Exercises
5 Transform Filters, Spatial Filters and the Wavelet Transform
5.1 Introduction and Overview5.2 Lowpass Filters5.3 Highpass Filters5.4 Bandpass, Bandreject and Notch Filters5.5 Spatial Filtering via Convolution5.5.1 Lowpass Filtering in the Spatial Domain5.5.2 Highpass Filtering in the Spatial Domain5.5.3 Bandpass and Bandreject Filtering in the Spatial Domain5.6 Discrete Wavelet Transform5.7 Key Points5.8 References and Further ReadingReferences5.9 Exercises5.10 Supplementary Exercises
6 Image Enhancement
6.1 Introduction and Overview6.2 Gray-Scale Modification6.2.1 Mapping Equations6.2.2 Histogram Modification6.2.3 Adaptive Contrast Enhancement6.2.4 Color6.3 Image Sharpening6.3.1 Highpass Filtering6.3.2 High-Frequency Emphasis (HFE)6.3.3 Directional Difference Filters6.3.4 Homomorphic Filtering6.3.5 Unsharp Masking6.3.6 Edge Detector–Based Sharpening Algorithms6.4 Image Smoothing6.4.1 Frequency Domain Smoothing6.4.2 Spatial Domain Smoothing6.4.3 Smoothing with Nonlinear Filters6.5 Key Points6.6 References and Further ReadingReferences6.7 Exercises6.8 Supplementary Exercises
7 Image Restoration and Reconstruction
7.1 Introduction and Overview7.1.1 System Model7.2 Noise Models7.2.1 Noise Histograms7.2.2 Periodic Noise7.2.3 Estimation of Noise7.3 Noise Removal Using Spatial Filters7.3.1 Order Filters7.3.2 Mean Filters7.3.3 Adaptive Filters7.4 The Degradation Function7.4.1 The Spatial Domain – The Point Spread Function7.4.2 The Frequency Domain – The Modulation/Optical Transfer Function7.4.3 Estimation of the Degradation Function7.5 Frequency Domain Restoration Filters7.5.1 Inverse Filter7.5.2 Wiener Filter7.5.3 Constrained Least Squares Filter7.5.4 Geometric Mean Filters7.5.5 Adaptive Filtering7.5.6 Bandpass, Bandreject and Notch Filters7.5.7 Practical Considerations7.6 Geometric Transforms7.6.1 Spatial Transforms7.6.2 Gray-Level Interpolation7.6.3 The Geometric Restoration Procedure7.6.4 Geometric Restoration with CVIPtools7.7 Image Reconstruction7.7.1 Reconstruction Using Backprojections7.7.2 The Radon Transform7.7.3 The Fourier-Slice Theorem and Direct Fourier Reconstruction7.8 Key Points7.9 References and Further ReadingReferences7.10 Exercises7.11 Supplementary Exercises
8 Image Compression
8.1 Introduction and Overview8.1.1 Compression System Model8.2 Lossless Compression Methods8.2.1 Huffman Coding8.2.2 Golomb-Rice Coding8.2.3 Run-Length Coding8.2.4 Lempel–Ziv–Welch Coding8.2.5 Arithmetic Coding8.3 Lossy Compression Methods8.3.1 Gray-Level Run-Length Coding8.3.2 Block Truncation Coding8.3.3 Vector Quantization8.3.4 Differential Predictive Coding8.3.5 Model-Based and Fractal Compression8.3.6 Transform Coding8.3.7 Hybrid and Wavelet Methods8.4 Key Points8.5 References and Further ReadingReferences8.6 Exercises8.7 Supplementary Exercises
Index

Content preview from Digital Image Processing and Analysis, 4th Edition

Preface

Acknowledgments

Author

1 Digital Image Processing and Analysis

1.1 Overview

1.2 Image Processing and Human Vision

1.3 Digital Imaging Systems

1.4 Image Formation and Sensing

1.4.1 Visible Light Imaging

1.4.2 Imaging Outside the Visible Range of the EM Spectrum

1.4.3 Acoustic Imaging

1.4.4 Electron Imaging

1.4.5 Laser Imaging

1.4.6 Computer-Generated Images

1.5 Image Representation

1.5.1 Binary Images

1.5.2 Gray-Scale Images

1.5.3 Color Images

1.5.4 Multispectral and Multiband Images

1.5.5 Digital Image File Formats

1.6 Key Points

1.7 References and Further Reading

References

1.8 Exercises

2 Image Processing Development Tools

2.1 Introduction and Overview

2.2 CVIPtools Windows GUI

2.2.1 Image Viewer

2.2.2 Analysis Window

2.2.3 ...

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Fundamentals of Digital Image Processing

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ISBN: 9781000789911

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Digital Image Processing and Analysis, 4th Edition

by Scott E Umbaugh

Contents

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