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E-raamat: Digital Holographic Data Representation and Compression

(Institut Mines-Télécom, Télécom ParisTech, CNRS LTCI, Paris, France), (Institut Mines-Télécom, Télécom ParisTech, CNRS LTCI, Paris, France), , (Institut Mines-Télécom, Télécom ParisTech, CNRS LTCI, Paris, France)
  • Formaat: PDF+DRM
  • Ilmumisaeg: 19-Oct-2015
  • Kirjastus: Academic Press Inc
  • Keel: eng
  • ISBN-13: 9780128028902
  • Formaat - PDF+DRM
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  • Formaat: PDF+DRM
  • Ilmumisaeg: 19-Oct-2015
  • Kirjastus: Academic Press Inc
  • Keel: eng
  • ISBN-13: 9780128028902

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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
List of Tables
vii
List of Figures
ix
List of Acronyms
xi
Chapter 1 Introduction
1(2)
Chapter 2 Fundamental Principles of Digital Holography
3(16)
2.1 Physical Principles
3(3)
2.2 Computer-Generated Holography
6(10)
2.3 Phase-Shifting Digital Holography
16(3)
Chapter 3 Basic Compression Tools
19(6)
3.1 Transformation: Wavelet-Based Transform
19(1)
3.2 Quantization
20(1)
3.3 Entropy Coding
21(2)
3.4 JPEG 2000
23(2)
Chapter 4 Holographic Data Representations
25(14)
4.1 Representations of Digital Holographic Data
25(3)
4.2 Study of Probability Distributions
28(3)
4.3 Comparative Study of Different Representations
31(8)
Chapter 5 Compression of Digital Holographic Data
39(32)
5.1 Overview of State of the Art for Digital Holographic Data Compression
40(6)
5.2 Wavelet-Based Holographic Data Compression Methods
46(25)
Chapter 6 Concluding Remarks
71(4)
Bibliography 75
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, 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. Frédéric 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.