While 60 years of successful application of holography is celebrated in this special issue, efficient representation and compression of holographic data has received relatively little attention in research. Notwithstanding this observation, and particularly due to the digitization that is also penetrating the holographic domain, interest is growing on how to efficiently compress holographic data such that interactive exchange of content, as well as digital storage can be facilitated proficiently. This is a particular challenge, not only because of its interferometric nature and the various representation formats, but also the often extremely large data volumes involved in pathological, tomographic, or high-end visualization applications. In this paper, we provide an overview of the state of the art in compression techniques and corresponding quality metrics for various practical applications in digital holography. We also consider the future by analyzing the emerging trends for addressing the key challenges in this domain.
Schelkens, P, Ahar, A, Gilles, A, Kizhakkumkara Muhamad, R, J. Naughton, T, Perra, C, Pinheiro, A, Stępień, P & Kujawińska, M 2022, 'Compression strategies for digital holograms in biomedical and multimedia applications', Light: Advanced Manufacturing, vol. 3, no. 3, 40, pp. 601-621. https://doi.org/10.37188/lam.2022.040
Schelkens, P., Ahar, A., Gilles, A., Kizhakkumkara Muhamad, R., J. Naughton, T., Perra, C., Pinheiro, A., Stępień, P., & Kujawińska, M. (2022). Compression strategies for digital holograms in biomedical and multimedia applications. Light: Advanced Manufacturing, 3(3), 601-621. Article 40. https://doi.org/10.37188/lam.2022.040
@article{9c7052cb8b3e4943b39115494259c6c3,
title = "Compression strategies for digital holograms in biomedical and multimedia applications",
abstract = "While 60 years of successful application of holography is celebrated in this special issue, efficient representation and compression of holographic data has received relatively little attention in research. Notwithstanding this observation, and particularly due to the digitization that is also penetrating the holographic domain, interest is growing on how to efficiently compress holographic data such that interactive exchange of content, as well as digital storage can be facilitated proficiently. This is a particular challenge, not only because of its interferometric nature and the various representation formats, but also the often extremely large data volumes involved in pathological, tomographic, or high-end visualization applications. In this paper, we provide an overview of the state of the art in compression techniques and corresponding quality metrics for various practical applications in digital holography. We also consider the future by analyzing the emerging trends for addressing the key challenges in this domain.",
keywords = "compression, hologram, bitrate, bpp, optical, CGH, motion compensation, evaluation, quality, hologram error, subjective hologram, objective hologram",
author = "Peter Schelkens and Ayyoub Ahar and Antonin Gilles and {Kizhakkumkara Muhamad}, Raees and {J. Naughton}, Thomas and Cristian Perra and Antonio Pinheiro and Piotr St{\c e}pie{\'n} and Malgorzata Kujawi{\'n}ska",
note = "Funding Information: This work was funded in part by European Research Council (FP7/N.617779–INTERFERE), the French government through the National Research Agency (ANR) Investment referenced ANR-A0-AIRT-07, the Portuguese FCT-Funda{\c c}{\~a}o para a Ci{\^e}ncia e Tecnologia under the project UIDB/EEA/50008/2020, PLive X-0017-LX-20, and co-financed by the European Regional Development Fund (ERDF) through the Programa Operacional Regional do Centro (Centro 2020) under the project Centro-01-0145-FEDER-000019 - C4 - Centro de Compet{\^e}ncias em Cloud Computing, the “Convenzione triennale tra la Fondazione di Sardegna e gli Atenei Sardi - Regione Sardegna L.R.7/2007 annualit{\`a} 2019-DGR DGR 28/21 del 17.05.2015” with project “Formal Methods and Technologies for the Future of Energy Systems”, CUP F72F20000350007, call 2019, and by the project Cagliari 2020 (MIUR, PON04a2 00381), Science Foundation Ireland (under grant no. 13/CDA/2224), and co-financed by the European Union under the European Regional Development Fund within the program TEAM TECH/2016-1/4 of Foundation for Polish Science. Funding Information: This work was funded in part by European Research Council (FP7/N.617779–INTERFERE), the French government through the National Research Agency (ANR) Investment referenced ANR-A0-AIRT-07, the Portuguese FCT-Funda{\c c}{\~a}o para a Ci{\^e}ncia e Tecnologia under the project UIDB/EEA/50008/2020, PLive X-0017-LX-20, and co-financed by the European Regional Development Fund (ERDF) through the Programa Operacional Regional do Centro (Centro 2020) under the project Centro-01-0145-FEDER-000019-C4-Centro de Compet{\^e}ncias em Cloud Computing, the “Convenzione triennale tra la Fondazione di Sardegna e gli Atenei Sardi-Regione Sardegna L.R.7/2007 annualit{\`a} 2019-DGR DGR 28/21 del 17.05.2015” with project “Formal Methods and Technologies for the Future of Energy Systems”, CUP F72F20000350007, call 2019, and by the project Cagliari 2020 (MIUR, PON04a2 00381), Science Foundation Ireland (under grant no. 13/CDA/2224), and co-financed by the European Union under the European Regional Development Fund within the program TEAM TECH/2016-1/4 of Foundation for Polish Science. Publisher Copyright: {\textcopyright} The Author(s) 2022. Copyright: Copyright 2023 Elsevier B.V., All rights reserved.",
year = "2022",
doi = "10.37188/lam.2022.040",
language = "English",
volume = "3",
pages = "601--621",
journal = "Light: Advanced Manufacturing",
issn = "2689-9620",
number = "3",
}