ABSTRACT

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

part |2 pages

Part I - Basis for Compression and Communication

chapter 1|18 pages

- Information Theory

chapter 2|26 pages

- Hybrid Video Coding

chapter 3|16 pages

- Communication

part |2 pages

Part II - Scalable Video Coding

part |2 pages

Part III - Directional Transforms

chapter 7|18 pages

- Directional Wavelet Transform

chapter 8|20 pages

- Directional DCT Transform

chapter 9|20 pages

- Directional Filtering Transform

part |2 pages

Part IV - Vision-Based Compression

chapter 10|26 pages

- Edge-Based Inpainting

chapter 11|24 pages

- Cloud-Based Image Compression

chapter 12|22 pages

- Compression for Cloud Photo Storage

part |2 pages

Part V - Compressive Communication

chapter 13|26 pages

- Compressive Data Gathering

chapter 14|22 pages

- Compressive Modulation

chapter 15|22 pages

- Joint Source and Channel Coding

part |2 pages

Part VI - Pseudo-Analog Transmission

chapter 16|28 pages

- DCast: Distributed Video Multicast

chapter 17|26 pages

- Denoising in Communications

part |2 pages

Part VII - Future Work

chapter 19|18 pages

- Computational Information Theory