Book description
Fundamentals of Digital Image Processing clearly discusses the five fundamental aspects of digital image processing namely, image enhancement, transformation, segmentation, compression and restoration. Presented in a simple and lucid manner, the book aims to provide the reader a sound and firm theoretical knowledge on digital image processing. It is supported by large number of colored illustrations.
Table of contents
- Cover
- Title Page
- Contents
- About the Authors
- Dedication
- Preface
- Chapter 1 - Fundamentals of Digital Image Processing
- Chapter 2 - Digital Image Representation
-
Chapter 3 - Image Transforms
- 3.1 - Introduction
- 3.2 - Fourier Transform
- 3.3 - Discrete Fourier Transform
- 3.4 - Properties of Fourier Transform
- 3.5 - Fast Fourier Transform
- 3.6 - Discrete Cosine Transform
- 3.7 - Walsh Transform
- 3.8 - Hadamard Transform
- 3.9 - The Haar Transform
- 3.10 - The Slant Transform
- 3.11 - The Hotelling Transform
- Chapter 4 - Image Enhancement
-
Chapter 5 - Image Compression
- 5.1 - Introduction
- 5.2 - Coding Redundancy
- 5.3 - Inter-Pixel Redundancy
- 5.4 - Psycho-Visual Redundancy
- 5.5 - Image Compression Models
- 5.6 - The Source Encoder and Decoder
- 5.7 - The Channel Encoder and Decoder
- 5.8 - Information Theory
- 5.9 - Classification
- 5.10 - Huffman Coding
- 5.11 - Lossy Compression Techniques
- 5.12 - Threshold Coding
- 5.13 - Vector Quantization
- 5.14 - Image Compression Standard (JPEG)
- 5.15 - Image Compression Using Neural Networks
- Chapter 6 - Image Segmentation
-
Chapter 7 - Image Restoration
- 7.1 - Introduction
- 7.2 - Degradation Model
- 7.3 - Degradation Model for Continuous Functions
- 7.4 - Discrete Degradation Model
- 7.5 - Estimation of Degradation Function
- 7.6 - Estimation by Experimentation
- 7.7 - Estimation by Modeling
- 7.8 - Inverse Filtering Approach
- 7.9 - Least Mean Square Filter
- 7.10 - Interactive Restoration
- 7.11 - Constrained Least Squares Restoration
-
Chapter 8 - Image Representation and Description
- 8.1 - Introduction
- 8.2 - Boundary Representation using Chain Codes
- 8.3 - Boundary Representation using Line Segments
- 8.4 - Boundary Representation using Signature
- 8.5 - Shape Number
- 8.6 - Fourier Descriptors
- 8.7 - Moments
- 8.8 - Region Representation
- 8.9 - Regional Descriptors
- 8.10 - Topological Descriptors
- 8.11 - Texture
- 8.12 - Relational Descriptors
-
Chapter 9 - Pattern Classification Methods
- 9.1 - Introduction
- 9.2 - Statistical Pattern Classification Methods
- 9.3 - Artificial Intelligence Approach in Pattern Classification
- 9.4 - ANN Approaches in Pattern Classification
- 9.5 - Supervised Feedforward Fuzzy Neural Network
- 9.6 - Syntactic Pattern Recognition
- 9.7 - Types of Grammar
- 9.8 - Syntactic Recognition Problem using Formal Language
- 9.9 - Image Knowledge Base
- Illustrations
- Bibliography
- Acknowledgements
- Copyright
Product information
- Title: Fundamentals of Digital Image Processing
- Author(s):
- Release date: October 2006
- Publisher(s): Pearson India
- ISBN: 9788177584790
You might also like
book
Introduction to Digital Image Processing
The subject of digital image processing has migrated from a graduate to a junior or senior …
book
A Computational Introduction to Digital Image Processing, 2nd Edition
This bestseller explores the nature and use of digital images and shows how they can be …
book
Digital Image Processing and Analysis, 4th Edition
Digital Image Enhancement, Restoration and Compression focuses on human vision-based imaging application development. Examples include making …
book
Digital Video Processing, Second Edition
This is the Rough Cut version of the printed book. In the nearly twenty years since …