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

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.

視覺資訊是最豐富且佔用頻寬最多的溝通模式之一。為了滿足新興應用的需求，需要強大的資料壓縮和傳輸技術，以實現高效的通信，即使在提供增加頻寬的通信通道的情況下也是如此。

《視覺資料壓縮和通信的進展：滿足新應用的需求》是作者多年研究視覺資料壓縮和通信的成果，為進一步研究視覺資料壓縮和通信提供了理論和技術基礎。

該書研究了可擴展視頻編碼中的漂移問題，分析了引起問題的原因，並提出了各種解決方案。它探討了作者的基於杠鈴的舉重編碼方案，該方案已被MPEG採用為常用軟件。它還提出了從非定向對應中推導定向變換的統一框架。該框架的結構和係數的統計分佈與非定向變換類似，有助於後續的熵編碼。

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。

對於類比和數字傳輸技術，本書開發了媒體的虛擬類比傳輸，並探索了分佈式虛擬類比傳輸、虛擬類比傳輸中的降噪以及對MIMO的支持的前沿研究。最後，它考慮了未來應用的信息理論的新發展。