Digital Holographic Data Representation and Compression
Published on 16. October 2015
Book
Paperback/Softback
92 pages
978-0-12-802854-4 (ISBN)
Description
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.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Scientists, researchers, graduate students and engineers working in the field of holography, and interested in digital holographic data compression.
Product notice
Paperback (trade)
Dimensions
Height: 228 mm
Width: 149 mm
Thickness: 10 mm
Weight
175 gr
ISBN-13
978-0-12-802854-4 (9780128028544)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Frederic Dufaux is a CNRS Research Director at Telecom ParisTech. He is also Editor-in-Chief of Signal Processing: Image Communication. Frederic 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, Emitall Surveillance, Genimedia, Compaq, Digital Equipment, MIT, and Bell Labs. He has been involved in the standardization of digital video and imaging technologies, participating both in the MPEG and JPEG committees. He is the recipient of two ISO awards for his contributions. Frederic was Vice General Chair of ICIP 2014. He is an elected member of the IEEE Image, Video, and Multidimensional Signal Processing (IVMSP) and Multimedia Signal Processing (MMSP) Technical Committees. He is also the Chair of the EURASIP Special Area Team on Visual Information Processing.His research interests include image and video coding, distributed video coding, 3D video, high dynamic range imaging, visual quality assessment, video surveillance, privacy protection, image and video analysis, multimedia content search and retrieval, and video transmission over wireless network. He is the author or co-author of more than 120 research publications and holds 17 patents issued or pending.
Content
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
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