Class-specific diffractive cameras based on deep learning-designed surfaces
Abstract Recently, a new diffractive camera design based on transmissive surfaces structured using deep learning is proposed. It performs class-specific imaging of target objects and all-optical deletion of other classes of objects, which will promote the development of privacy-preserving digital ca...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2022-09-01
|
Series: | Light: Science & Applications |
Online Access: | https://doi.org/10.1038/s41377-022-00974-7 |
_version_ | 1811253719140925440 |
---|---|
author | Xuxi Zhou Shuming Wang |
author_facet | Xuxi Zhou Shuming Wang |
author_sort | Xuxi Zhou |
collection | DOAJ |
description | Abstract Recently, a new diffractive camera design based on transmissive surfaces structured using deep learning is proposed. It performs class-specific imaging of target objects and all-optical deletion of other classes of objects, which will promote the development of privacy-preserving digital cameras and mission-specific data. |
first_indexed | 2024-04-12T16:55:18Z |
format | Article |
id | doaj.art-1b48276eda2943a1b880b2ea81949fad |
institution | Directory Open Access Journal |
issn | 2047-7538 |
language | English |
last_indexed | 2024-04-12T16:55:18Z |
publishDate | 2022-09-01 |
publisher | Nature Publishing Group |
record_format | Article |
series | Light: Science & Applications |
spelling | doaj.art-1b48276eda2943a1b880b2ea81949fad2022-12-22T03:24:15ZengNature Publishing GroupLight: Science & Applications2047-75382022-09-011111210.1038/s41377-022-00974-7Class-specific diffractive cameras based on deep learning-designed surfacesXuxi Zhou0Shuming Wang1National Laboratory of Solid-State Microstructures, School of Physics, Nanjing UniversityNational Laboratory of Solid-State Microstructures, School of Physics, Nanjing UniversityAbstract Recently, a new diffractive camera design based on transmissive surfaces structured using deep learning is proposed. It performs class-specific imaging of target objects and all-optical deletion of other classes of objects, which will promote the development of privacy-preserving digital cameras and mission-specific data.https://doi.org/10.1038/s41377-022-00974-7 |
spellingShingle | Xuxi Zhou Shuming Wang Class-specific diffractive cameras based on deep learning-designed surfaces Light: Science & Applications |
title | Class-specific diffractive cameras based on deep learning-designed surfaces |
title_full | Class-specific diffractive cameras based on deep learning-designed surfaces |
title_fullStr | Class-specific diffractive cameras based on deep learning-designed surfaces |
title_full_unstemmed | Class-specific diffractive cameras based on deep learning-designed surfaces |
title_short | Class-specific diffractive cameras based on deep learning-designed surfaces |
title_sort | class specific diffractive cameras based on deep learning designed surfaces |
url | https://doi.org/10.1038/s41377-022-00974-7 |
work_keys_str_mv | AT xuxizhou classspecificdiffractivecamerasbasedondeeplearningdesignedsurfaces AT shumingwang classspecificdiffractivecamerasbasedondeeplearningdesignedsurfaces |