Digital Holographic Data Representation and Compression

With the increasing interest in holography for 3D imaging applications, there is a need to develop and use hologram compression techniques for the efficient storage and transmission of holographic data. This book gives a broad overview of the state-of-the-art techniques for the efficient compression and representation of digital holographic data, addressing both still and moving data sequences.

• An Introduction to the principles of digital holography
• A critical analysis of the techniques that have been developed
• Coverage of the most recent research results
• A summary of future research challenges

Scientists, researchers, graduate students and engineers working in the field of holography, and interested in digital holographic data compression

1. Introduction

1.1. Overview of Digital Holography

1.2. Digital Holography System

2.1. Optical Theory

2.1.1. Interference

2.1.2. Diffraction

2.2. Computer Generated Hologram

2.2.1. Object Models

2.2.2. Mathematical Models

2.2.3. Speed-up Models

2.3. Representation of Digital Holographic Data

2.3.1. Intensity of Hologram

2.3.2. Complex Amplitude

3.1. Lossless Compression

3.1.1. Huffman Encoding

3.1.2. Lempel-Ziv Encoding

3.1.3. Burrows-Wheeler Encoding

3.2. Lossy Compression

3.2.1. Quality Evaluation Criteria

3.2.2. Quantization

3.2.3. Transform based Coding

3.2.4. 3D Scanning based Compression

3.2.5. Still Image Coding Standard-based Compression

4.1. Video Coding Standard-based Compression

4.1.1. MPEG-4 ASP

4.1.2. H.264/AVC

4.1.3. HEVC

4.2. Hybrid Compression

4.2.1. 3D Scanning based Compression

4.2.2. Vector lifting Scheme based Compression