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Digital Holographic Data Representation and Compression [Paperback]

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  • Category: Books (Technology & Engineering)
  • Author:  Yafei Xing, Mounir Kaaniche, B}atrice Pesquet-Popescu, Fr}d}ric Dufaux
  • Author:  Yafei Xing, Mounir Kaaniche, B}atrice Pesquet-Popescu, Fr}d}ric Dufaux
  • ISBN-10:  0128028548
  • ISBN-10:  0128028548
  • ISBN-13:  9780128028544
  • ISBN-13:  9780128028544
  • Publisher:  Academic Press
  • Publisher:  Academic Press
  • Pages:  92
  • Pages:  92
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Jun-2015
  • Pub Date:  01-Jun-2015
  • SKU:  0128028548-11-MPOD
  • SKU:  0128028548-11-MPOD
  • Item ID: 100759230
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Dec 18 to Dec 20
  • Notes: Brand New Book. Order Now.

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

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