Description
Book SynopsisVisual 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
Table of Contents
Basis for Compression and Communication. Information Theory. Hybrid Video Coding. Communication. Scalable Video Coding. Progressive Fine Granularity Scalable (PFGS) Coding. Motion Threading for 3D Wavelet Coding. Barbell-Lifting Based 3D Wavelet Coding. Directional Transforms. DirectionalWavelet Transform. Directional DCT Transform. Directional Filtering Transform. VISION-BASED COMPRESSION. Edge-Based Inpainting. Cloud-Based Image Compression. Compression for Cloud Photo Storage. Compressive Communication. Compressive Data Gathering. Compressive Modulation. Joint Source and Channel Coding. DCast: Distributed Video Multicast. Denoising in Communication. MIMO Broadcasting with Receiver Antenna Heterogeneity. Future Work. Computational Information Theory.
