41 citations · 90 across the 5 of their papers we have counts for
6 papers
Imaging through scattering media via spatial-temporal encoded pattern illumination
Xingchen Zhao, Xiaoyu Nie, Zhenhuan Yi +2
Optical imaging through scattering media is a long-standing challenge. Although many approaches have been developed to focus light or image objects through scattering media, they a…
0.8% Nyquist computational ghost imaging via non-experimental deep learning
Haotian Song, Xiaoyu Nie, Hairong Su +5
We present a framework for computational ghost imaging based on deep learning and customized pink noise speckle patterns. The deep neural network in this work, which can learn the…
Superresolving second-order correlation imaging using synthesized colored noise speckles
Zheng Li, Xiaoyu Nie, Fan Yang +7
We present a novel method to synthesize non-trivial speckles that can enable superresolving second-order correlation imaging. The speckles acquire a unique anti-correlation in the…
High order Coherence Functions and Spectral Distributions as given by the Quantum Theory of Laser Radiation
Tao Peng, Xingchen Zhao, Yanhua Shih +1
We propose and demonstrate a method for measuring the time evolution of the off-diagonal elements of the reduced density matrix obtained from the quantum theory of t…
Non-invasive imaging of object behind strongly scattering media via cross-spectrum
Xingchen Zhao, Tao Peng, Zhenhuan Yi +4
We develop a method based on the cross-spectrum of an intensity-modulated CW laser, which can extract a signal from an extremely noisy environment and image objects hidden in turbi…
Anti-interference Computational Ghost Imaging with Pink Noise Speckle Patterns
Xiaoyu Nie, Fan Yang, Xiangpei Liu +5
We propose a computational ghost imaging scheme using customized pink noise speckle pattern illumination. By modulating the spatial frequency amplitude of the speckles, we generate…