Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Optical machine learning with incoherent light and a single-pixel detector

Not Accessible

Your library or personal account may give you access

Abstract

An optical diffractive neural network (DNN) can be implemented with a cascaded phase mask architecture. Like an optical computer, the system can perform machine learning tasks such as number digit recognition in an all-optical manner. However, the system can work only under coherent light illumination, and the precision requirement in practical experiments is quite high. This Letter proposes an optical machine learning framework based on single-pixel imaging (MLSPI). The MLSPI system can perform the same linear pattern recognition task as DNN. Furthermore, it can work under incoherent lighting conditions, has lower experimental complexity, and can be easily programmable.

© 2019 Optical Society of America

Full Article  |  PDF Article
More Like This
Single-pixel pattern recognition with coherent nonlinear optics

Ting Bu, Santosh Kumar, He Zhang, Irwin Huang, and Yu-Ping Huang
Opt. Lett. 45(24) 6771-6774 (2020)

Learning-based adaptive under-sampling for Fourier single-pixel imaging

Wenxin Huang, Fei Wang, Xiangyu Zhang, Ying Jin, and Guohai Situ
Opt. Lett. 48(11) 2985-2988 (2023)

Single-pixel sensing with optimal binarized modulation

Hao Fu, Liheng Bian, and Jun Zhang
Opt. Lett. 45(11) 3111-3114 (2020)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (5)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (2)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved