Single-pixel Compressive Imaging with Single Photon Counting

Lili Li, Matthew Thomas, Santosh Kumar, Yu Ping Huang

Research output: Contribution to conferencePaperpeer-review

Abstract

We experimentally demonstrate a compressive imaging system by utilizing single-pixel detection at a single-photon level and a deep neural network. As a benchmark test, MNIST handwritten digits could be reconstructed at -27 dB signal to noise ratio.

Original languageEnglish
StatePublished - 2024
EventCLEO: Applications and Technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics - Charlotte, United States
Duration: 5 May 202410 May 2024

Conference

ConferenceCLEO: Applications and Technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics
Country/TerritoryUnited States
CityCharlotte
Period5/05/2410/05/24

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