TY - GEN
T1 - Single Pixel Image Reconstruction Using Nonlinear Optics and Neural Networks
AU - Kumar, Santosh
AU - Thomas, Matthew
AU - Huang, Yuping
N1 - Publisher Copyright:
© Optica Publishing Group 2023, © 2023 The Author(s)
PY - 2023
Y1 - 2023
N2 - We demonstrate a hybrid opto-electronic system to efficiently c lassify and reconstruct two-dimensional images. It utilizes nonlinear frequency upconversion with single-pixel detection and a deep neural network. It could find applications in Lidar, compressive sensing, and so on.
AB - We demonstrate a hybrid opto-electronic system to efficiently c lassify and reconstruct two-dimensional images. It utilizes nonlinear frequency upconversion with single-pixel detection and a deep neural network. It could find applications in Lidar, compressive sensing, and so on.
UR - http://www.scopus.com/inward/record.url?scp=85191147930&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85191147930&partnerID=8YFLogxK
U2 - 10.1364/FIO.2023.JM7A.126
DO - 10.1364/FIO.2023.JM7A.126
M3 - Conference contribution
AN - SCOPUS:85191147930
T3 - Frontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023
BT - Frontiers in Optics
T2 - Frontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023
Y2 - 9 October 2023 through 12 October 2023
ER -