Class-specific diffractive cameras based on deep learning-designed surfaces

Xuxi Zhou; Shuming Wang

doi:10.1038/s41377-022-00974-7

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Class-specific diffractive cameras based on deep learning-designed surfaces

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- Class-specific diffractive cameras based on deep learning-designed surfaces
- Light: Science & Applications Vol. 11, Issue 10, Pages: 2262-2263(2022)
- Affiliations：
  
  National Laboratory of Solid-State Microstructures, School of Physics, Nanjing University, Nanjing 210093, China
- Author bio：
  
  Shuming Wang (wangshuming@nju.edu.cn)
- Funds：
- DOI：10.1038/s41377-022-00974-7
  CLC：
- Published：31 October 2022，
  
  Published Online：29 September 2022，
- Accepted：
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Zhou, X. X. & Wang, S. M. Class-specific diffractive cameras based on deep learning-designed surfaces. Light: Science & Applications, 11, 2262-2263 (2022).
DOI：

Zhou, X. X. & Wang, S. M. Class-specific diffractive cameras based on deep learning-designed surfaces. Light: Science & Applications, 11, 2262-2263 (2022). DOI： 10.1038/s41377-022-00974-7.

摘要

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.

关键词

Keywords

references

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