By Feng Wu
Visible details is without doubt one of the richest and such a lot bandwidth-consuming modes of communique. to satisfy the necessities of rising purposes, robust info compression and transmission concepts are required to accomplish hugely effective communique, even within the presence of transforming into verbal exchange channels that provide elevated bandwidth.Presenting the result of the author's years of study on visible data compression and transmission, Advances in visible information Compression and conversation: assembly the necessities of recent functions presents a theoretical. Read more...
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Extra resources for Advances in Visual Data Compression and Communication: Meeting the Requirements of New Applications
2 Technical Evolution Although the framework of hybrid video coding has changed little in the past few decades, compression technologies of motion compensation, transform, quantization, and entropy coding have been continuously improving. Furthermore, new compression technologies such as intra prediction, deblocking filtering, and sample adaptive offset (SAO) filtering are introduced into the framework. 264 [12, 13], and HEVC . By the comparison, we can clearly see the trend of the developments on video compression.
Hamming code is taken as an example to explain how channel coding works. Finally, the joint source and channel coding is introduced. The conditions for source channel separation are discussed. It is the theoretical justification why data compression and transmission can be studied independently. As a concrete application of source coding, Chapter 2 discusses the basic framework of video compression and the major developments in recent decades. This serves as the technical basis for our research presented in Parts II, III, and IV of this book.
61), the syndrome depends only on the error Z and not on the transmitted codeword. If d = 0, then the decoded codeword is y. If d = 0, then let i denote the column of H, which is equal to dT . 4 Joint Source and Channel Coding 19 i of yˆ . The decoded codeword is y = yˆ + zi , where zi is a vector which is all zeros except for a 1 in the ith position. Hamming codes demonstrate how channel coding works in communication. Although Hamming codes are very simple in both encoding and decoding, they are not capacity-approached channel codes.
Advances in Visual Data Compression and Communication: Meeting the Requirements of New Applications by Feng Wu