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...
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Amsterdam, [Netherlands] :
Academic Press
2016.
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| Edición: | First edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629583106719 |
Tabla de Contenidos:
- Front Cover
- Digital Holographic Data Representation and Compression
- Copyright
- Contents
- List of Tables
- List of Figures
- Acronyms
- Chapter 1: Introduction
- Chapter 2: Fundamental Principles of Digital Holography
- 2.1 Physical Principles
- 2.1.1 Interference-Hologram Acquisition
- 2.1.2 Diffraction-Hologram Reconstruction
- 2.2 Computer-Generated Holography
- 2.2.1 Numerical Reconstruction Methods
- 2.2.1.1 Approximation Methods
- 2.2.1.2 Angular Spectrum Method
- 2.2.2 Computer-Generated Holograms
- 2.2.2.1 The State of the Art of CGH
- 2.2.2.2 Methods for CGH
- 2.3 Phase-Shifting Digital Holography
- 2.3.1 Motivation
- 2.3.2 Principle of Phase-Shifting Digital Holography
- Chapter 3: Basic Compression Tools
- 3.1 Transformation: Wavelet-Based Transform
- 3.2 Quantization
- 3.3 Entropy Coding
- 3.4 JPEG 2000
- Chapter 4: Holographic Data Representations
- 4.1 Representations of Digital Holographic Data
- 4.1.1 Intensity-Based Representation
- 4.1.2 Complex Amplitude-Based Representation
- 4.2 Study of Probability Distributions
- 4.3 Comparative Study of Different Representations
- Chapter 5: Compression of Digital Holographic Data
- 5.1 Overview of State of the Art for Digital Holographic Data Compression
- 5.1.1 Quantization Based
- 5.1.2 Transform Based
- 5.1.3 Extension to Digital Holographic Sequences
- 5.2 Wavelet-Based Holographic Data Compression Methods
- 5.2.1 Fresnelet Scheme
- 5.2.2 Separable Vector Lifting Scheme
- 5.2.3 Nonseparable Vector Lifting Scheme
- 5.2.3.1 Basic Concept of Decomposition Structure
- 5.2.3.2 Optimization Techniques
- 5.2.4 Arbitrary Packet Decomposition and Direction-Adaptive Discrete Wavelet Transform
- 5.2.5 Morlet Transform
- Chapter 6: Concluding Remarks
- Bibliography
- Back Cover.
