Neural compression for hologram images and videos.
Opt Lett
; 47(22): 6013-6016, 2022 Nov 15.
Article
em En
| MEDLINE
| ID: mdl-37219160
ABSTRACT
Holographic near-eye displays can deliver high-quality three-dimensional (3D) imagery with focus cues. However, the content resolution required to simultaneously support a wide field of view and a sufficiently large eyebox is enormous. The consequent data storage and streaming overheads pose a big challenge for practical virtual and augmented reality (VR/AR) applications. We present a deep-learning-based method for efficiently compressing complex-valued hologram images and videos. We demonstrate superior performance over the conventional image and video codecs.
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MEDLINE
Idioma:
En
Revista:
Opt Lett
Ano de publicação:
2022
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Article