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- Title
Neural étendue expander for ultra-wide-angle high-fidelity holographic display.
- Authors
Tseng, Ethan; Kuo, Grace; Baek, Seung-Hwan; Matsuda, Nathan; Maimone, Andrew; Schiffers, Florian; Chakravarthula, Praneeth; Fu, Qiang; Heidrich, Wolfgang; Lanman, Douglas; Heide, Felix
- Abstract
Holographic displays can generate light fields by dynamically modulating the wavefront of a coherent beam of light using a spatial light modulator, promising rich virtual and augmented reality applications. However, the limited spatial resolution of existing dynamic spatial light modulators imposes a tight bound on the diffraction angle. As a result, modern holographic displays possess low étendue, which is the product of the display area and the maximum solid angle of diffracted light. The low étendue forces a sacrifice of either the field-of-view (FOV) or the display size. In this work, we lift this limitation by presenting neural étendue expanders. This new breed of optical elements, which is learned from a natural image dataset, enables higher diffraction angles for ultra-wide FOV while maintaining both a compact form factor and the fidelity of displayed contents to human viewers. With neural étendue expanders, we experimentally achieve 64 × étendue expansion of natural images in full color, expanding the FOV by an order of magnitude horizontally and vertically, with high-fidelity reconstruction quality (measured in PSNR) over 29 dB on retinal-resolution images. All holographic displays and imaging techniques are fundamentally limited by the étendue supported by existing spatial light modulators. Here, the authors report on using artificial intelligence (AI) to learn an étendue expanding element that effectively increases étendue by two orders of magnitude.
- Subjects
HOLOGRAPHIC displays; SPATIAL light modulators; OPTICAL elements; COHERENCE (Optics); HOLOGRAPHY; ELECTRONIC modulators
- Publication
Nature Communications, 2024, Vol 15, Issue 1, p1
- ISSN
2041-1723
- Publication type
Article
- DOI
10.1038/s41467-024-46915-3