Toward the Standardization of High-Quality Computer-Generated Holography Media Production Workflow
Metadata
- Publisher
- SMPTE — White Plains, NY, USA
- Doc Type
- Journal Article
- Content Type
- Original Research
- Abbreviated Title
- SMPTE Mot. Imag. J
- Volume
- 131, No. 1, pp. 48–58
- Abstract
- Computer-generated holography (CGH) is an immersive next-generation display technology with exciting prospects for television and cinema. By modulating laser light via a spatial light modulator (SLM), a holographic display can project a three-dimensional (3D) scene into the viewer’s eyes. The resulting image is the closest to a real-world scene representation that can be created. When viewed, all physiological as well as psychological depth cues are preserved. This article provides a brief introduction to CGH and proposes a suitable workflow for high-quality hologram (HQH) delivery. CGH offers a potential scene-referred and wide color gamut display system, in such a way that can easily be integrated with existing methods of content production. Also highlighted are some potential future standards for maximum cross-compatibility to ensure that display features such as multiview, semitransparencies, and occlusion can be utilized to their fullest extent.
- Publication Date
- 2022-01-01
- DOI
10.5594/JMI.2021.3130941- ISSN
- Print:
1545-0279| Electronic:2160-2492 - Link
- https://doi.org/10.5594/JMI.2021.3130941
- Author(s)
- Aaron Demolder
bio
Aaron Demolder is a digital media engineering doctorate (EngD) candidate at the EPSRC funded Centre for Digital Entertainment (CDE), Bournemouth University, Bournemouth, U.K. He is currently completing his EngD while at VividQ Ltd., Cambridge, U.K., with a focus of better incorporating emerging technology into art-driven pipelines. He received a BA (Hons.) in computer visualization and animation at the National Centre for Computer Animation. His work at VividQ balances between experimenting with content for the new generation of display technology and driving improvement of the holographic generation system that enables it. - Keyword(s)
- Computer-generated Holography (CGH), HDR, Holographic Display, Standards, Wide Color Gamut, Workflow
- Copyright
- © 2022 SMPTE
Bibliographic Reference(s)
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- SMPTE ST 429-2:2020 [Superseded]
- SMPTE ST 2065-1:2012 [Superseded]
- SMPTE ST 2065-4:2013 [Superseded]
- SMPTE ST 2067-2:2020 [Active]
- SMPTE ST 2067-50:2018 [Active]
- SMPTE ST 2084:2014 [Active, Stabilized]
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Aaron Demolder; Toward the Standardization of High-Quality Computer-Generated Holography Media Production Workflow, SMPTE Motion Imaging Journal ( Volume: 131, Issue: 1, 2022); SMPTE, 2022. Available at https://doi.org/10.5594/JMI.2021.3130941
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Aaron Demolder; Toward the Standardization of High-Quality Computer-Generated Holography Media Production Workflow, SMPTE Motion Imaging Journal ( Volume: 131, Issue: 1, 2022); SMPTE, 2022. Available at https://doi.org/10.5594/JMI.2021.3130941
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Aaron Demolder; Toward the Standardization of High-Quality Computer-Generated Holography Media Production Workflow, SMPTE Motion Imaging Journal ( Volume: 131, Issue: 1, 2022); SMPTE, 2022. Available at https://doi.org/10.5594/JMI.2021.3130941
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<span class="citation">Aaron Demolder; <cite>Toward the Standardization of High-Quality Computer-Generated Holography Media Production Workflow</cite>, SMPTE Motion Imaging Journal ( Volume: 131, Issue: 1, 2022); SMPTE, 2022. Available at <a href="https://doi.org/10.5594/JMI.2021.3130941" target="_blank" rel="noopener">https://doi.org/10.5594/JMI.2021.3130941</a></span>
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Aaron Demolder; Toward the Standardization of High-Quality Computer-Generated Holography Media Production Workflow, SMPTE Motion Imaging Journal ( Volume: 131, Issue: 1, 2022); SMPTE, 2022
doi: 10.5594/JMI.2021.3130941
url: https://doi.org/10.5594/JMI.2021.3130941
doi: 10.5594/JMI.2021.3130941
url: https://doi.org/10.5594/JMI.2021.3130941
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<li> Aaron Demolder; <cite id="bib-10-5594-jmi-2021-3130941">Toward the Standardization of High-Quality Computer-Generated Holography Media Production Workflow</cite>, SMPTE Motion Imaging Journal ( Volume: 131, Issue: 1, 2022); SMPTE, 2022 <span class="doi">10.5594/JMI.2021.3130941</span> </li>