Intelligent Image and Video Compression: Communicating PicturesAcademic Press, 7 de abr. de 2021 - 608 páginas 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 |
Conteúdo
1 | |
17 | |
59 | |
4 Digital picture formats and representations | 107 |
5 Transforms for image and video coding | 143 |
6 Filterbanks and wavelet compression | 183 |
7 Lossless compression methods | 225 |
motion prediction | 271 |
10 Measuring and managing picture quality | 335 |
delivery across networks | 385 |
12 Video coding standards and formats | 435 |
13 Communicating pictures the future | 485 |
A Glossary of terms | 515 |
B Tutorial problems | 523 |
547 | |
Back Cover | 565 |
Outras edições - Ver todos
Intelligent Image and Video Compression: Communicating Pictures David Bull,Fan Zhang Prévia não disponível - 2021 |
Termos e frases comuns
adaptive algorithm approach architecture arithmetic coding arithmetic encoding artifacts autocorrelation B-frames basis functions bit rate bitstream block buffer CABAC channel Chapter chroma Circuits Syst codec codeword color complexity compute correlation database decoder distortion downsampling dynamic range efficient encoding entropy coding error concealment error resilience example exploit FIGURE filter filter-bank formats frame rate frequency HEVC Huffman coding IEEE IEEE Trans image and video input interpolation intra-prediction ITU-T JPEG layer luma luminance macroblock matrix methods mode motion compensation motion estimation motion vector node normally operation optimal output parameter perceptual performance picture pixels prediction PSNR quality assessment quantization rate-distortion ratio reference frames residual samples scalable scanning sequence shown in Fig significant slice spatial resolution structure subband symbol Table temporal texture transmission typically values video coding video coding standards video compression video quality Video Technol visual wavelet