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Class-specific diffractive cameras based on deep learning-designed surfaces
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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9522863/ https://www.ncbi.nlm.nih.gov/pubmed/36175397 http://dx.doi.org/10.1038/s41377-022-00974-7 |
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author | Zhou, Xuxi Wang, Shuming |
author_facet | Zhou, Xuxi Wang, Shuming |
author_sort | Zhou, Xuxi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9522863 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95228632022-10-01 Class-specific diffractive cameras based on deep learning-designed surfaces Zhou, Xuxi Wang, Shuming Light Sci Appl News & Views 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. Nature Publishing Group UK 2022-09-29 /pmc/articles/PMC9522863/ /pubmed/36175397 http://dx.doi.org/10.1038/s41377-022-00974-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | News & Views Zhou, Xuxi Wang, Shuming Class-specific diffractive cameras based on deep learning-designed surfaces |
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 |
topic | News & Views |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9522863/ https://www.ncbi.nlm.nih.gov/pubmed/36175397 http://dx.doi.org/10.1038/s41377-022-00974-7 |
work_keys_str_mv | AT zhouxuxi classspecificdiffractivecamerasbasedondeeplearningdesignedsurfaces AT wangshuming classspecificdiffractivecamerasbasedondeeplearningdesignedsurfaces |