Advances in Visual Data Compression and Communication: Meeting the Requirements of New Applications (Hardcover)

Feng Wu

  • 出版商: Auerbach Publication
  • 出版日期: 2014-08-05
  • 售價: $2,880
  • 貴賓價: 9.5$2,736
  • 語言: 英文
  • 頁數: 513
  • 裝訂: Hardcover
  • ISBN: 1482234130
  • ISBN-13: 9781482234138
  • 立即出貨 (庫存=1)



Visual information is one of the richest and most bandwidth-consuming modes of communication. To meet the requirements of emerging applications, powerful data compression and transmission techniques are required to achieve highly efficient communication, even in the presence of growing communication channels that offer increased bandwidth.

Presenting the results of the author’s years of research on visual data compression and transmission, Advances in Visual Data Compression and Communication: Meeting the Requirements of New Applications provides a theoretical and technical basis for advanced research on visual data compression and communication.

The book studies the drifting problem in scalable video coding, analyzes the reasons causing the problem, and proposes various solutions to the problem. It explores the author’s Barbell-based lifting coding scheme that has been adopted as common software by MPEG. It also proposes a unified framework for deriving a directional transform from the nondirectional counterpart. The structure of the framework and the statistic distribution of coefficients are similar to those of the nondirectional transforms, which facilitates subsequent entropy coding.

Exploring the visual correlation that exists in media, the text extends the current coding framework from different aspects, including advanced image synthesis—from description and reconstruction to organizing correlated images as a pseudo sequence. It explains how to apply compressive sensing to solve the data compression problem during transmission and covers novel research on compressive sensor data gathering, random projection codes, and compressive modulation.

For analog and digital transmission technologies, the book develops the pseudo-analog transmission for media and explores cutting-edge research on distributed pseudo-analog transmission, denoising in pseudo-analog transmission, and supporting MIMO. It concludes by considering emerging developments of information theory for future applications.





通過探索媒體中存在的視覺相關性,本書從不同的角度擴展了當前的編碼框架,包括高級圖像合成 - 從描述和重建到將相關圖像組織為虛擬序列。它解釋了如何應用壓縮感知來解決傳輸過程中的數據壓縮問題,並涵蓋了壓縮感知數據收集、隨機投影編碼和壓縮調製的新研究。