2017/06/21 by Xialin Liu, Jianhong Shi, Liu, Xialin +5
Engineering · Mathematics · Physics and Astronomy · #78-05 #Advanced Optical Imaging Technologies #Artificial intelligence #Computer science #Detector #FOS: Physical sciences #Ghost imaging #Image (mathematics) #Mathematics #Microscopy #Noise (video) #Optical Coherence Tomography Applications #Optics #Optics (physics.optics) #Photon #Photon counting #Physics #Pixel #Poisson distribution #Random lasers and scattering media #Ranging #Shot noise #Telecommunications #msc:78-05 #physics.optics
paper · pdf · doi:10.48550/arxiv.1706.06741
published in arXiv (Cornell University) (Cornell University) · 4 pages, 5 figures, 1 table
arxiv created 2017/06/21 · openalex publication_date 2017/06/21 · arxiv updated 2017/06/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/08
Conventional imaging at low light level requires hundreds of detected photons per pixel to suppress the Poisson noise for accurate reflectivity inference. In this letter, we propose a high-efficiency photon-limited imaging technique, called first-photon ghost imaging, which recovers image from the first-photon detection by exploiting the physics of low-flux measurements and the framework of ghost imaging. The experimental results demonstrated that it could retrieve an image by only 0.1 photon detection per pixel, which is three orders lower than the conventional imaging technique. The SNR model of the system has been established for noise analysing. Our technique is supposed to have applications in many fields, ranging from biological microscopy to remote sensing.