Chen, Ziyang;
Kim, Dongyeon;
Mantiuk, Rafal;
Akşit, Kaan;
(2025)
Content-adaptive targeting scheme for holographic displays.
In: Argaman, Naamah and Hua, Hong and Nikolov, Daniel K, (eds.)
Proceedings of SPIE 13414: Optical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR) VI.
(pp. 134141B).
SPIE: San Francisco, California, USA.
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Abstract
Computer-Generated Holography (CGH) algorithms identify Three-Dimensional (3D) holograms by utilizing focal stacks as their target images. However, periodically slicing depth planes to generate a focal stack can lead to artifacts and reduced contrast in visually salient parts on a 3D scene. We introduce a content-adaptive targeting scheme that prioritizes contrast and optimizes slicing of the depth planes. This way, our new targeting scheme reduces the slicing artifacts in reconstructed 3D holographic images.
| Type: | Proceedings paper |
|---|---|
| Title: | Content-adaptive targeting scheme for holographic displays |
| Event: | SPIE AR, VR, MR 2025 |
| Dates: | 27 Jan 2025 - 30 Jan 2025 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1117/12.3040567 |
| Publisher version: | https://doi.org/10.1117/12.3040567 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | 3D acquisition; Computer generated holography; Holographic displays; 3D image processing; Holograms; Image processing; Mixed reality; Image quality; Spatial light modulators; Visualization; 3D displays; Spatial frequencies |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10209006 |
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