Digital Holographic Data Representation And Compression

Hardcover | October 21, 2015

byYafei Xing, Mounir Kaaniche, Béatrice Pesquet-popescu

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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

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From the Publisher

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 hologr...

Frédéric Dufaux is a CNRS Research Director at Telecom ParisTech. He is also Editor-in-Chief of Signal Processing: Image Communication.Frédéric received his M.Sc. in physics and Ph.D. in electrical engineering from EPFL in 1990 and 1994 respectively. He has over 20 years of experience in research, previously holding positions at EPFL, ...
Format:HardcoverDimensions:92 pages, 9.41 × 7.24 × 0.98 inPublished:October 21, 2015Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0128028548

ISBN - 13:9780128028544

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Table of Contents

1. Introduction

1.1. Overview of Digital Holography

1.2. Digital Holography System

2. Fundamental Principles of Digital Holography

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. Compression of Still Digital Holographic Data

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. Compression of Digital Holographic Sequences

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

5. Conclusions