Class-specific diffractive cameras based on deep learning-designed surfaces  被引量:1

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作  者:Xuxi Zhou Shuming Wang 

机构地区:[1]National Laboratory of Solid-State Microstructures,School of Physics,Nanjing University,Nanjing 210093,China

出  处:《Light(Science & Applications)》2022年第10期2262-2263,共2页光(科学与应用)(英文版)

摘  要: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:SPECIFIC SURFACES PRESERVING 

分 类 号:O43[机械工程—光学工程]

 

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