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Image and Video Compression. Edition No. 2

  • ID: 5018851
  • Book
  • October 2020
  • Region: Global
  • 522 Pages
  • Elsevier Science and Technology
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Image and Video Compression: Communicating Pictures, Second Edition, gives a unique historical perspective of the role of images in communications before explaining the applications and requirements of a modern video coding system. It draws on Dave Bull's extensive academic and professional experience of signal processing and video coding to deliver a text that is algorithmically rigorous, yet accessible, relevant to modern standards, and practical. It offers a thorough grounding in visual perception, and demonstrates how modern image and video compression methods can be designed to meet the rate-quality performance levels demanded by today's applications, networks and users.
  • An approach that combines algorithmic rigor with practical implementation
  • Broad coverage explaining compression video methods as well as new emerging formats and related topics such as human perception, visual quality assessment, immersion assessment, and video transmission
  • Presents state of the art video coding standards (HEVC and H.264/AVC) to explain algorithm development in the context of block based compression, using numerous worked examples
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1. Introduction 2. The human visual system 3. Discrete-time analysis for images and video 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 13. Communicating pictures
the future

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Bull, David R.
David Bull is the Chair in Signal Processing and Head of the Visual Information Laboratory at the University of Bristol, and Director of the Bristol Vision Institute. His research interests are focused on image and video communications and analysis for wireless, internet and broadcast applications. He has published over 450 academic papers, various articles, three books and numerous patents, many of which have been exploited commercially. He has undertaken a wide range of consultation activities for both industries and governments around the world.
Zhang, Fan
Dr. Zhang received her MSc and PhD degree in Navigation, Guidance and Control in 2012 and 2017 form School of Astronautics, Northwestern Polytechnical University respectively. Her research focuses on the dynamic and control of Tethered Space Robot and maneuverable Tethered Space Net.
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