Introduction To Real-time Imaging

Preface

1. What is Real-Time Processing?

2. Basic Hardware Architecture

3. Linear Image Processing Algorithms

4. Compression by Matrix Transforms

5. Nonlinear Image Processing Algorithms

6. Parallel Architectures

7. Programming Languages

8. Optimization Techniques

Glossary

Bibliography

Index.

 

This concise and compact text focusses on the structure, computation and applications of the algorithms central to digital image processing. In particular, it stresses linear, matrix and nonlinear algorithms that have a wide range of imaging applications.
The book begins with the basics of real-time image processing, then it goes on to give a fairly detailed discussion on basic hardware architecture, including von Neumann architecture, to familiarize students with the basic architectural concepts and terminology. Besides, the text devotes its attention on the three levels at which one can address real-time processing: parallel hardware, the programming language, and optimization. The conceptual discussions are fortified with description on applications such as noise suppression, edge detection, matched filtering and data compression.
This book, which skillfully blends theory and applications, would prove to be highly useful to students of engineering and computer science.