1st Edition
A Concise Introduction to Image Processing using C++
Basic Concepts of Images
Analogue Signals
Digital Signals
Grey-Scale Images
Colour Images
Image Storage Formats
Video
Exercises
References
Partial Code Examples
Basic Image Processing Tools
Correlation Operation and Convolution Operation
Fourier Transform
The Discrete Cosine Transform
The Gabor Transform
The Wavelet Transform
Further Reading: Orthogonality and Completeness
Exercises
References
Partial Code Examples
Preprocessing Techniques for Images
Pixel Brightness (Grey-Level) Transformations
Concepts and Models of Image Preprocessing
Image Smoothing
Image Enhancement
Image Restoration
Processing Methods Using Partial Differential Equations
Further Reading
Exercises
References
Partial Code Examples
Image Segmentation
Thresholding
Edge-Based Segmentation
Region-Based Segmentation
Further Reading
Exercises
References
Partial Code Examples
Mathematical Morphology
Some Basic Concepts of Set Theory
Morphology for Binary Images
Morphology for Grey-Scale Images
Further Reading
Exercises
References
Partial Code Examples
Image Compression
Image Fidelity Metrics
Lossless Compression
Lossy Compression
Image Compression Standards: JPEG and MPEG
Further Reading
Exercises
References
Partial Code Examples
Index
Biography
Meiqing Wang, Choi-Hong Lai
"This book is exactly what the title says: a very brief outline of the most popular methods used in image processing. Each chapter contains the absolute essentials of the subject with a large set of examples at the end and, of course, C++ code. … the book could be used as a quick guide to the most standard image processing techniques."
—Leslie P. Piegl, Zentralblatt MATH 1171"This book presents a compact overview of the current methods used in modern computer image processing and their applications. … All chapters are accompanied by C++ implementation of the method. This book requires only some background in geometry, algebra, and calculus and can serve as an excellent starting book for anyone who needs to become familiar with current methods in the field of image processing."
—EMS Newsletter, June 2009
