
- 608 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
Intelligent Image and Video Compression: Communicating Pictures, Second Edition explains the requirements, analysis, design and application of a modern video coding system. It draws on the authors' extensive academic and professional experience in this field to deliver a text that is algorithmically rigorous yet accessible, relevant to modern standards and practical. It builds on a thorough grounding in mathematical foundations and visual perception to demonstrate how modern image and video compression methods can be designed to meet the rate-quality performance levels demanded by today's applications and users, in the context of prevailing network constraints.
"David Bull and Fan Zhang have written a timely and accessible book on the topic of image and video compression. Compression of visual signals is one of the great technological achievements of modern times, and has made possible the great successes of streaming and social media and digital cinema. Their book, Intelligent Image and Video Compression covers all the salient topics ranging over visual perception, information theory, bandpass transform theory, motion estimation and prediction, lossy and lossless compression, and of course the compression standards from MPEG (ranging from H.261 through the most modern H.266, or VVC) and the open standards VP9 and AV-1. The book is replete with clear explanations and figures, including color where appropriate, making it quite accessible and valuable to the advanced student as well as the expert practitioner. The book offers an excellent glossary and as a bonus, a set of tutorial problems. Highly recommended! --Al Bovik
- An approach that combines algorithmic rigor with practical implementation using numerous worked examples
- Explains how video compression methods exploit statistical redundancies, natural correlations, and knowledge of human perception to improve performance
- Uses contemporary video coding standards (AVC, HEVC and VVC) as a vehicle for explaining block-based compression
- Provides broad coverage of important topics such as visual quality assessment and video streaming
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Intelligent Image and Video Compression by David Bull,Fan Zhang in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Digital Media. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Intelligent Image and Video Compression
- Cover
- Title page
- Copyright
- Table of Contents
- List of figures
- List of tables
- List of algorithms
- About the authors
- Preface
- Chapter 1 Introduction
- Chapter 2 The human visual system
- Chapter 3 Signal processing and information theory fundamentals
- Chapter 4 Digital picture formats and representations
- Chapter 5 Transforms for image and video coding
- Chapter 6 Filter-banks and wavelet compression
- Chapter 7 Lossless compression methods
- Chapter 8 Coding moving pictures: motion prediction
- Chapter 9 The block-based hybrid video codec
- Chapter 10 Measuring and managing picture quality
- Chapter 11 Communicating pictures: delivery across networks
- Chapter 12 Video coding standards and formats
- Chapter 13 Communicating pictures – the future
- Appendix A Glossary of terms
- Appendix B Tutorial problems
- Index