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
1. Chapter 1 Introduction - p. 1 2. Chapter 2 The human visual system - p. 17 3. Chapter 3 Signal processing and information theory fundamentals - p. 59 4. 3.1: Signal and picture sampling - p. 59 5. 3.2: Statistics of images - p. 65 6. 3.3: Filtering and transforms - p. 71 7. 3.4: Quantization - p. 79 8. 3.5: Linear prediction - p. 82 9. 3.6: Information and entropy - p. 88 10. 3.7: Machine learning - p. 92 11. 3.8: Summary - p. 103 12. Chapter 4 Digital picture formats and representations - p. 107 13. Chapter 5 Transforms for image and video coding - p. 143 14. 5.1: The principles of decorrelating transforms - p. 143 15. 5.2: Unitary transforms - p. 147 16. 5.3: Basic transforms - p. 150 17. 5.4: Optimal transforms - p. 156 18. 5.5: Discrete cosine transform (DCT) - p. 159 19. 5.6: Quantization of DCT coefficients - p. 167 20. 5.7: Performance comparisons - p. 172 21. 5.8: DCT implementation - p. 175 22. 5.9: JPEG - p. 181 23. 5.10: Summary - p. 181 24. Chapter 6 Filter-banks and wavelet compression - p. 183 25. Chapter 7 Lossless compression methods - p. 225 26. Chapter 8 Coding moving pictures: motion prediction - p. 271 27. Chapter 9 The block-based hybrid video codec - p. 309 28. Chapter 10 Measuring and managing picture quality - p. 335 29. 10.1: General considerations and influences - p. 336 30. 10.2: Subjective testing - p. 338 31. 10.3: Test datasets and how to use them - p. 348 32. 10.4: Objective quality metrics - p. 353 33. 10.5: Rate-distortion optimization - p. 366 34. 10.5.1: Classical rate-distortion theory - p. 366 35. 10.5.2: Practical rate-distortion optimization - p. 368 36. 10.5.3: The influence of additional coding modes and parameters - p. 370 37. 10.5.4: From rate-distortion optimization to rate-quality optimization - p. 375 38. 10.6: Rate control - p. 375 39. 10.7: Summary - p. 381 40. Chapter 11 Communicating pictures: delivery across networks - p. 385 41. Chapter 12 Video coding standards and formats - p. 435 42. Chapter 13 Communicating pictures – the future - p. 485 43. Appendix A Glossary of terms - p. 515 44. Appendix B Tutorial problems - p. 523 45. Index - p. 547 46. Index - Continued - p. 560
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
1. Chapter 1 Introduction - p. 1 2. Chapter 2 The human visual system - p. 17 3. Chapter 3 Signal processing and information theory fundamentals - p. 59 4. 3.1: Signal and picture sampling - p. 59 5. 3.2: Statistics of images - p. 65 6. 3.3: Filtering and transforms - p. 71 7. 3.4: Quantization - p. 79 8. 3.5: Linear prediction - p. 82 9. 3.6: Information and entropy - p. 88 10. 3.7: Machine learning - p. 92 11. 3.8: Summary - p. 103 12. Chapter 4 Digital picture formats and representations - p. 107 13. Chapter 5 Transforms for image and video coding - p. 143 14. 5.1: The principles of decorrelating transforms - p. 143 15. 5.2: Unitary transforms - p. 147 16. 5.3: Basic transforms - p. 150 17. 5.4: Optimal transforms - p. 156 18. 5.5: Discrete cosine transform (DCT) - p. 159 19. 5.6: Quantization of DCT coefficients - p. 167 20. 5.7: Performance comparisons - p. 172 21. 5.8: DCT implementation - p. 175 22. 5.9: JPEG - p. 181 23. 5.10: Summary - p. 181 24. Chapter 6 Filter-banks and wavelet compression - p. 183 25. Chapter 7 Lossless compression methods - p. 225 26. Chapter 8 Coding moving pictures: motion prediction - p. 271 27. Chapter 9 The block-based hybrid video codec - p. 309 28. Chapter 10 Measuring and managing picture quality - p. 335 29. 10.1: General considerations and influences - p. 336 30. 10.2: Subjective testing - p. 338 31. 10.3: Test datasets and how to use them - p. 348 32. 10.4: Objective quality metrics - p. 353 33. 10.5: Rate-distortion optimization - p. 366 34. 10.5.1: Classical rate-distortion theory - p. 366 35. 10.5.2: Practical rate-distortion optimization - p. 368 36. 10.5.3: The influence of additional coding modes and parameters - p. 370 37. 10.5.4: From rate-distortion optimization to rate-quality optimization - p. 375 38. 10.6: Rate control - p. 375 39. 10.7: Summary - p. 381 40. Chapter 11 Communicating pictures: delivery across networks - p. 385 41. Chapter 12 Video coding standards and formats - p. 435 42. Chapter 13 Communicating pictures – the future - p. 485 43. Appendix A Glossary of terms - p. 515 44. Appendix B Tutorial problems - p. 523 45. Index - p. 547 46. Index - Continued - p. 560
