Phase-shifting digital holographic data compression

被引:0
作者
Meha Hachani
Azza Ouled Zaid
Frédéric Dufaux
机构
[1] University of Tunis El Manar,Communication Systems Laboratory, National Engineering School of Tunis
[2] CNRS - CentraleSupelec - Univ. Paris-Sud,Lab. des Signaux et Systèmes (L2S)
来源
Journal of Optics | 2019年 / 48卷
关键词
Holograms; JPEG; Region-based coding; Bit allocation;
D O I
暂无
中图分类号
学科分类号
摘要
Modern holography for 3D imaging allows to reconstruct all the parallaxes that are needed for a truly immersive visualization. Nevertheless, it possesses huge amount of data which induces higher transmission and storage requirements. To gain more popularity and acceptance, digital holography demands development of efficient coding schemes that provide significant data compression at low computation cost. Another issue that needs to be tackled when designing holography coding algorithms is interoperability with commonly used formats. In light of this, the upcoming JPEG Pleno standard aims to develop a standard framework for the representation and exchange of new imaging modalities such as holographic imaging while maintaining backward compatibility with the legacy JPEG decoders. This paper summarizes the early work on lossy compression of computer graphic holograms and analyses the efficiency of additional methods that may exhibit good satisfactory coding performance while considering the backward compatibility with legacy JPEG decoders. To validate our findings, the results of our tests are shown and interpreted. Finally, we also outline the emerging trends for future researches.
引用
收藏
页码:412 / 428
页数:16
相关论文
共 50 条
  • [21] Compression of Digital Images in Radiology - Results of a Consensus Conference
    Loose, R.
    Braunschweig, R.
    Kotter, E.
    Mildenberger, P.
    Simmler, R.
    Wucherer, M.
    [J]. ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN, 2009, 181 (01): : 32 - 37
  • [22] A database for assessment of effect of lossy compression on digital mammograms
    Wang, Jiheng
    Sahiner, Berkman
    Petrick, Nicholas
    Pezeshk, Aria
    [J]. MEDICAL IMAGING 2018: IMAGE PERCEPTION, OBSERVER PERFORMANCE, AND TECHNOLOGY ASSESSMENT, 2018, 10577
  • [23] Visual data compression for multimedia applications
    Ebrahimi, T
    Kunt, M
    [J]. PROCEEDINGS OF THE IEEE, 1998, 86 (06) : 1109 - 1125
  • [24] Evaluating Lossy Compression on Climate Data
    Huebbe, Nathanael
    Wegener, Al
    Kunkel, Julian Martin
    Ling, Yi
    Ludwig, Thomas
    [J]. SUPERCOMPUTING (ISC 2013), 2013, 7905 : 343 - 356
  • [25] Lossy compression of acoustic backscatter data
    Goldschneider, JR
    Bruce, AG
    Percival, DB
    [J]. DETECTION AND REMEDIATION TECHNOLOGIES FOR MINES AND MINELIKE TARGETS II, 1997, 3079 : 213 - 224
  • [26] Lossy data compression for next-generation imager data
    Miller, SW
    Puschell, JJ
    [J]. ATMOSPHERIC AND ENVIRONMENTAL REMOTE SENSING DATA PROCESSING AND UTILIZATION: AN END TO END SYSTEM PERSPECTIVE, 2004, 5548 : 120 - 127
  • [27] A JPEG-based enhanced compression algorithm of digital holograms
    Yu, Hanming
    Zhang, Zibang
    Zhong, Jingang
    [J]. HOLOGRAPHY, DIFFRACTIVE OPTICS, AND APPLICATIONS V, 2012, 8556
  • [28] Is digital image compression acceptable within diabetic retinopathy screening?
    Basu, A
    Kamal, AD
    Illahi, W
    Khan, M
    Stavrou, P
    Ryder, REJ
    [J]. DIABETIC MEDICINE, 2003, 20 (09) : 766 - 771
  • [29] NO NOTICEABLE DIFFERENCE EVALUATION OF IMAGE DATA COMPRESSION
    Jang, Euee S.
    [J]. PROCEEDINGS OF 2016 5TH IEEE INTERNATIONAL CONFERENCE ON NETWORK INFRASTRUCTURE AND DIGITAL CONTENT (IEEE IC-NIDC 2016), 2016, : 505 - 509
  • [30] Adaptive compression of DICOM-image data
    Hludov, S
    Engel, T
    Meinel, C
    [J]. ELECTRONIC IMAGING: PROCESSING, PRINTING, AND PUBLISHING IN COLOR, 1998, 3409 : 260 - 266