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Digital Holographic Data Representation and Compression de Yafei Xing

Digital Holographic Data Representation and Compression

Autor Yafei Xing, Mounir Kaaniche, Béatrice Pesquet-Popescu, Frédéric Dufaux
en Limba Engleză Paperback – 16 oct 2015
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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Specificații

ISBN-13: 9780128028544
ISBN-10: 0128028548
Pagini: 92
Dimensiuni: 152 x 229 x 8 mm
Greutate: 0.16 kg
Editura: ELSEVIER SCIENCE

Public țintă

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

Cuprins

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