This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Open AccessCommunication
From Text to Hologram: Creation of High-Quality Holographic Stereograms Using Artificial Intelligence
by
Philippe Gentet
Philippe Gentet 1
,
Matteo Coffin
Matteo Coffin 2,
Yves Gentet
Yves Gentet 3 and
Seung Hyun Lee
Seung Hyun Lee 4,*
1
Immersive Content Display Center, Kwangwoon University, Seoul 01897, Republic of Korea
2
CESI, 33300 Bordeaux, France
3
Ultimate Holography, 33000 Bordeaux, France
4
Ingenium College of Liberal Arts, Kwangwoon University, Seoul 01897, Republic of Korea
*
Author to whom correspondence should be addressed.
Photonics 2024, 11(9), 787; https://doi.org/10.3390/photonics11090787 (registering DOI)
Submission received: 31 July 2024
/
Revised: 22 August 2024
/
Accepted: 23 August 2024
/
Published: 23 August 2024
Abstract
This study simplified the creation of holographic stereograms using AI-generated prompts, overcoming the conventional need for complex equipment and professional software. AI enabled the generation of detailed perspective images suitable for various content styles. The generated images were interpolated, upscaled, and printed using a CHIMERA holoprinter to obtain high-quality holograms. This method significantly reduces the required time and expertise, thereby making holographic content creation accessible. This approach demonstrated that AI can effectively streamline the production of high-fidelity holograms, suggesting exciting future advancements in holographic technology.
Share and Cite
MDPI and ACS Style
Gentet, P.; Coffin, M.; Gentet, Y.; Lee, S.H.
From Text to Hologram: Creation of High-Quality Holographic Stereograms Using Artificial Intelligence. Photonics 2024, 11, 787.
https://doi.org/10.3390/photonics11090787
AMA Style
Gentet P, Coffin M, Gentet Y, Lee SH.
From Text to Hologram: Creation of High-Quality Holographic Stereograms Using Artificial Intelligence. Photonics. 2024; 11(9):787.
https://doi.org/10.3390/photonics11090787
Chicago/Turabian Style
Gentet, Philippe, Matteo Coffin, Yves Gentet, and Seung Hyun Lee.
2024. "From Text to Hologram: Creation of High-Quality Holographic Stereograms Using Artificial Intelligence" Photonics 11, no. 9: 787.
https://doi.org/10.3390/photonics11090787
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details
here.
Article Metrics
Article Access Statistics
For more information on the journal statistics, click
here.
Multiple requests from the same IP address are counted as one view.