This book provides a theoretical and technical basis for advanced research on visual data compression and communication. It presents the results of the author's research on visual data compression and transmission. Studying scalable video coding (SVC), it considers the fundamental problem to be solved in SVC-motion compensation. It explores directional transforms, extends the current coding framework by visual synthesis and reconstruction, and explains how to apply compressive sensing to solve the compression problems in transmission. It also develops the pseudo-analog transmission for image and video.
Zusammenfassung
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.Presentin
Inhalt
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.