4th Edition
Digital Image Processing and Analysis Digital Image Enhancement, Restoration and Compression
Chapter 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
1.5 Image Representation
1.6 Key Points
1.7 References and Further Reading
1.8 Exercises
Chapter 2: Image Processing Development Tools
2.1 Introduction and Overview
2.2 CVIPtools Windows GUI
2.3 CVIPlab for C/C++ Programming
2.4 The Matlab CVIP Toolbox
2.5 References and Further Reading
2.6 Introductory Programming Exercises
2.7 Digital Image Processing and Human Vision Projects
Chapter 3: Digital Image Processing and Visual Perception
3.1 Introduction
3.2 Image Analysis
3.3 Human Visual Perception
3.4 Image Fidelity Criteria
3.5 Key points
3.6 References and Further Reading
3.7 Exercises
3.8 Supplementary Exercises
Chapter 4: Discrete Transforms
4.1 Introduction and Overview
4.2 Fourier Transform
4.3 Discrete Cosine Transform
4.4 Discrete Walsh-Hadamard Transform
4.5 Discrete Haar Transform
4.6 Principal Components Transform
4.7 Key Points
4.8 References and Further Reading
4.9 Exercises
4.10 Supplementary Exercises
Chapter 5: Transform Filters, Spatial Filters and the Wavelet Transform
5.1 Introduction and Overview
5.2 Lowpass Filters
5.3 Highpass Filters
5.4 Bandpass, Bandreject and Notch Filters
5.5 Spatial Filtering via Convolution
5.6 Discrete Wavelet Transform
5.7 Key Points
5.8 References and Further Reading
5.9 Exercises
5.10 Supplementary Exercises
Chapter 6: Image Enhancement
6.1 Introduction and Overview
6.2 Gray Scale Modification
6.3 Image Sharpening
6.4 Image Smoothing
6.5 Key Points
6.6 References and Further Reading
6.7 Exercises
6.8 Supplementary Exercises
Chapter 7: Image Restoration and Reconstruction
7.1 Introduction and Overview
7.2 Noise Models
7.3 Noise Removal Using Spatial Filters
7.4 The Degradation Function
7.5 Frequency Domain Restoration Filters
7.6 Geometric Transforms
7.7 Image Reconstruction
7.8 Key Points
7.9 References and Further Reading
7.10 Exercises
7.11 Supplementary Exercises
Chapter 8: Image Compression
8.1 Introduction and Overview
8.2 Lossless Compression Methods
8.3 Lossy Compression Methods
8.4 Key Points
8.5 References and Further Reading
8.6 Exercises
8.7 Supplementary Exercises
Biography
Dr. Scott E Umbaugh is a Distinguished Research Professor of Electrical and Computer Engineering and Graduate Program Director for the Department of Electrical and Computer Engineering at Southern Illinois University Edwardsville (SIUE). He is also the Director of the Computer Vision and Image Processing (CVIP) Laboratory at SIUE. He has been teaching computer vision and image processing, as well as computer and electrical engineering design, for over 30 years. His professional interests include computer vision and image processing education, research and development of both human and computer vision applications, and engineering design education.
Prior to his academic career, Dr. Umbaugh worked as a computer design engineer and project manager in the avionics and telephony industries. He has been a computer imaging consultant since 1986 and has provided consulting services for the aerospace, medical and manufacturing industries with projects ranging from automatic identification of defects in microdisplay chips to analysis of thermographic images for clinical diagnosis of brain disease. He has performed research and development for projects funded by the National Institutes of Health, the National Science Foundation and the U. S. Department of Defense.
Dr. Umbaugh is author or co-author of numerous technical papers, two edited books, and multiple editions of his textbooks on computer vison and image processing. His books are used at academic and research organizations throughout the world. He has served on editorial boards and as a reviewer for a variety of IEEE journals and has evaluated research monographs and textbooks in the imaging field.
Dr. Umbaugh received his B.S.E. degree with honors from Southern Illinois University Edwardsville in 1982, M.S.E.E. in 1987 and Ph.D. in 1990 from the Missouri University of Science and Technology, where he was a Chancellor's Fellow. He is a senior member of the Institute of Electrical and Electronic Engineers (IEEE), a member of Sigma Xi and the International Society for Optical Engineering (SPIE). Dr. Umbaugh is also the primary developer of the CVIPtools software package and the associated CVIP Matlab Toolbox.
