Single Pixel Image Reconstruction Using Nonlinear Optics and Neural Networks

Santosh Kumar; Matthew Thomas; Yuping Huang

Single Pixel Image Reconstruction Using Nonlinear Optics and Neural Networks

Santosh Kumar, Matthew Thomas, Yuping Huang

Department of Physics

Stevens Institute of Technology

Research output: Contribution to conference › Paper › peer-review

Abstract

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.

Original language	English
State	Published - 2023
Event	2023 Laser Applications Conference, LAC 2023 - Tacoma, United States Duration: 8 Oct 2023 → 12 Oct 2023

Conference

Conference	2023 Laser Applications Conference, LAC 2023
Country/Territory	United States
City	Tacoma
Period	8/10/23 → 12/10/23

Cite this

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title = "Single Pixel Image Reconstruction Using Nonlinear Optics and Neural Networks",

abstract = "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.",

author = "Santosh Kumar and Matthew Thomas and Yuping Huang",

note = "Publisher Copyright: {\textcopyright} 2023 The Author(s) {\textcopyright} Optica Publishing Group 2023.; 2023 Laser Applications Conference, LAC 2023 ; Conference date: 08-10-2023 Through 12-10-2023",

year = "2023",

language = "English",

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TY - CONF

T1 - Single Pixel Image Reconstruction Using Nonlinear Optics and Neural Networks

AU - Kumar, Santosh

AU - Thomas, Matthew

AU - Huang, Yuping

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 - https://www.scopus.com/pages/publications/85214803286

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M3 - Paper

AN - SCOPUS:85214803286

T2 - 2023 Laser Applications Conference, LAC 2023

Y2 - 8 October 2023 through 12 October 2023

ER -

Single Pixel Image Reconstruction Using Nonlinear Optics and Neural Networks

Abstract

Conference

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