Neural nano-optics for high-quality thin lens imaging

Ethan Tseng; Shane Colburn; James Whitehead; Luocheng Huang; Seung-Hwan Baek; Arka Majumdar; Felix Heide

doi:10.1038/s41467-021-26443-0

Nature Communications (Nov 2021)

Neural nano-optics for high-quality thin lens imaging

Ethan Tseng,
Shane Colburn,
James Whitehead,
Luocheng Huang,
Seung-Hwan Baek,
Arka Majumdar,
Felix Heide

Affiliations

Ethan Tseng: Princeton University, Department of Computer Science
Shane Colburn: University of Washington, Department of Electrical and Computer Engineering
James Whitehead: University of Washington, Department of Electrical and Computer Engineering
Luocheng Huang: University of Washington, Department of Electrical and Computer Engineering
Seung-Hwan Baek: Princeton University, Department of Computer Science
Arka Majumdar: University of Washington, Department of Electrical and Computer Engineering
Felix Heide: Princeton University, Department of Computer Science

DOI: https://doi.org/10.1038/s41467-021-26443-0
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 7

Abstract

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While meta-optics have the potential to dramatically miniaturize camera technology, the quality of the captured images remains poor. Co-designing a single meta-optic and software correction, here the authors report on full-color imaging with quality comparable to commercial cameras.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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