“Full-color natural light holographic video camera” by Choi, Park and Hong – ACM SIGGRAPH HISTORY ARCHIVES

“Full-color natural light holographic video camera” by Choi, Park and Hong

  • 2025 E-Tech_Choi_Full-color natural light holographic video camera.jpg

Conference:


Experience Type(s):


Title:


    Full-color natural light holographic video camera

Organizer(s)/Presenter(s):


Interest Areas(s):


  • New Technologies
  • Research / Education

Description:


    We present a handheld holographic video camera that captures full-color, complex holographic video under ordinary lighting conditions. By adopting the self-interference incoherent holography principle, it eliminates the need for a laser light source, which is typically required for hologram recording, by integrating a geometric phase lens and a polarization image sensor, the system records complex-valued holograms in real time, without bias and twin image noises. Its centimeter-scale co-axial design enables truly mobile, handheld operation, while digital refocusing at arbitrary depths is achieved through numerical propagation with no prior knowledge. A video-based super-resolution algorithm further enhances the hologram’s quality, preserving digital refocusing capabilities. The demonstration highlights the feasibility of everyday holographic content acquisition, bridging the gap between the laboratory and real-world applications.

References:


    [1] KiHong Choi, Kyung-Il Joo, Tae-Hyun Lee, Hak-Rin Kim, Junkyu Yim, Hyeongkyu Do, and Sung-Wook Min. 2019. Compact self-interference incoherent digital holographic camera system with real-time operation. Optics express 27, 4 (2019), 4818–4833.

    [2] Youngrok Kim, Ki-Hong Choi, Chihyun In, Keehoon Hong, and Sung-Wook Min. 2024. Recent Research on Self-interference Incoherent Digital Holography. Current Optics and Photonics 8, 1 (Feb 2024), 1–15. https://doi.org/10.3807/COPP.2024.8.1.1

    [3] Topaz Labs. 2025. Topaz Video AI. https://www.topazlabs.com/topaz-video-ai. Accessed: 2025-02-05.

    [4] Joseph Rosen, Simon Alford, Vijayakumar Anand, Jonathan Art, Petr Bouchal, Zdeněk Bouchal, Munkh-Uchral Erdenebat, Lingling Huang, Ayumi Ishii, Saulius Juodkazis, et al. 2021. Roadmap on recent progress in FINCH technology. Journal of Imaging 7, 10 (2021), 197.


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