Image And Video Coding Standards Tools And Techniques
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Image and Video Coding: Standards, Tools and Techniques
Source coding refers to the process of encoding information using fewer bits compared to the original data. It can be lossy or lossless. Lossless compression is characterized by the elimination of loss of information and statistical redundancy. In lossy compression, bits are reduced by removing unnecessary information. In both these compressions, using the techniques of linear prediction, coding and pattern recognition, there is a reduction in information redundancy. Such compression of data is useful for storing and transmission of data. Some of the video coding formats are MPEG-2 Part 2, MPEG-4 Part 2, AV1, Theora, etc. Some vastly popular and commonly used image coding formats are JPEG, PNG and GIF. This book traces the progress in the field of image and video coding and highlights some of its key concepts. It includes some of the vital pieces of work being conducted across the world, on various topics related to coding standards, tools and techniques. It is a resource guide for experts as well as students.
Image and Video Compression for Multimedia Engineering
Multimedia hardware still cannot accommodate the demand for large amounts of visual data. Without the generation of high-quality video bitstreams, limited hardware capabilities will continue to stifle the advancement of multimedia technologies. Thorough grounding in coding is needed so that applications such as MPEG-4 and JPEG 2000 may come to fruition. Image and Video Compression for Multimedia Engineering provides a solid, comprehensive understanding of the fundamentals and algorithms that lead to the creation of new methods for generating high quality video bit streams. The authors present a number of relevant advances along with international standards. New to the Second Edition · A chapter describing the recently developed video coding standard, MPEG-Part 10 Advances Video Coding also known as H.264 · Fundamental concepts and algorithms of JPEG2000 · Color systems of digital video · Up-to-date video coding standards and profiles Visual data, image, and video coding will continue to enable the creation of advanced hardware, suitable to the demands of new applications. Covering both image and video compression, this book yields a unique, self-contained reference for practitioners tobuild a basis for future study, research, and development.
Signal Recovery Techniques for Image and Video Compression and Transmission
Author: Aggelos Katsaggelos
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-03-09
Signal Recovery Techniques for Image and Video Compression and Transmission establishes a bridge between the fields of signal recovery and image and video compression. Traditionally these fields have developed separately because the problems they examined were regarded as very different, and the techniques used appear unrelated. Recently, though, there is growing consent among the research community that the two fields are quite closely related. Indeed, in both fields the objective is to reconstruct the best possible signal from limited information. The field of signal recovery, which is relatively mature, has long been associated with a wealth of powerful mathematical techniques such as Bayesian estimation and the theory of projects onto convex sets (to name just two). This book illustrates for the first time in a complete volume how these techniques can be brought to bear on the very important problems of image and video compression and transmission. Signal Recovery Techniques for Image and Video Compression and Transmission, which is written by leading practitioners in both fields, is one of the first references that addresses this approach and serves as an excellent information source for both researchers and practicing engineers.