Chen, Min
Information Theory Tools for Visualization (AK Peters Visualization Series)
- ISBN 13:
- 9781032339924
- author:
- Chen, Min
- format:
- Paperback
- publisher:
- Taylor & Francis Ltd
- language:
- English
- Publication Year:
- 2022
- Pages:
- 208
- Dimensions:
- 23.4 x 15.2 x 1 centimetres (0.3
- Genre:
- Computers, Entertainment & Games, Games Programming,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Information Theory Tools for Visualization brings together leading experts to provide a comprehensive guide to using information theory in visualization applications. This book covers both the theoretical concepts behind these tools and their practical use in various visualization contexts.
With a focus on five major aspects of visualization, including viewpoint optimization, volume visualization, flow visualization, and more, this book offers a detailed exploration of how information theory tools can be used to solve visualization problems. Examples are provided to illustrate the application of these techniques in real-world scenarios.
Written for graduate students and researchers in fields such as visualization, graphics, and image processing, this book assumes a basic understanding of visualization but also provides a handy refresher on key concepts. It covers a range of applications of information theory in visualization, including volume rendering, streamline seeding, and multivariate data exploration.