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Intelligent Image and Video Compression: Communicating Pictures

Autor David Bull, Fan Zhang
en Limba Engleză Paperback – 9 apr 2021
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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Specificații

ISBN-13: 9780128203538
ISBN-10: 0128203536
Pagini: 608
Ilustrații: 150 illustrations (50 in full color)
Dimensiuni: 191 x 235 x 32 mm
Greutate: 1.03 kg
Ediția:2
Editura: ELSEVIER SCIENCE

Public țintă

Researchers, advanced undergraduate and graduate students in the field of image and video processing, computer vision

Cuprins

1. Introduction
2. The human visual system
3. Signal processing and information theory fundamentals
4. Digital picture formats and representations
5. Transforms for image and video coding
6. Filter banks and wavelet compression
7. Lossless compression methods
8. Coding moving pictures: Motion prediction
9. The block-based hybrid video codec
10. Measuring and managing picture quality
11. Communicating pictures: Delivery across networks
12. Video coding standards and formats
13. Communicating pictures - the future

Recenzii

"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, Director of the Laboratory for Image and Video Engineering, The University of Texas at Austin