Introduction to Real-Time Imaging

"An invaluable source for both imaging and software engineers, this practical guide thoroughly covers information in real-time systems, imaging, optimization, algorithms and hardware for image processing. You'll gain a comprehensive knowledge of the structure, computation, and application of the fundamental algorithms necessary to get the most out of your imaging technology.

Topics covered include:

• Basic hardware architecture
• Linear and non-linear image processing algorithms
• Efficient algorithms
• Optimization techniques
• Programming languages
• Hardware architectures
• Choosing a processor, and more!"

Preface.

What is Real-Time Processing?

Basic Hardware Architecture.

Linear Image Processing Algorithms.

Compression by Matrix Transforms.

Nonlinear Image Processing Algorithms.

Parallel Architectures.

Programming Languages.

Optimization Techniques.

Glossary.

Bibliography.

Index.

EDWARD R. DOUGHERTY, PhD, is Director of the Genomic Signal Processing Laboratory at Texas A&M University, where he holds the Robert M. Kennedy '26 Chair and is Professor in the Department of Electrical and Computer Engineering. He is also co-Director of the Computational Biology Division at the Translational Genomics Research Institute as well as Adjunct Professor in the Department of Bioinformatics and Computational Biology, M. D. Anderson Cancer Center at the University of Texas. Dr. Dougherty has published more than 300 peer-reviewed journal articles and book chapters.