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Xiang Peng
Researcher at Shenzhen University
Publications - 274
Citations - 5842
Xiang Peng is an academic researcher from Shenzhen University. The author has contributed to research in topics: Encryption & Ciphertext. The author has an hindex of 31, co-authored 269 publications receiving 4802 citations. Previous affiliations of Xiang Peng include Chinese Ministry of Education & Tianjin University.
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Journal ArticleDOI
Dynamic optical manipulation using intensity patterns directly projected by a reflective spatial light modulator
TL;DR: In this article, a simple method to manipulate microparticles dynamically with intensity-modulated patterns projected by a spatial light modulator (SLM), on which the patterns are controlled by a computer directly.
Journal ArticleDOI
Hierarchical multilevel authentication system for multiple-image based on phase retrieval and basic vector operations
Xianye Li,Xiangfeng Meng,Yongkai Yin,Xiulun Yang,Yurong Wang,Xiang Peng,Wenqi He,Xuemei Pan,Guoyan Dong,Hongyi Chen +9 more
TL;DR: A hierarchical multilevel authentication system for multiple-image based on phase retrieval and basic vector operations in the Fresnel domain is proposed, by which more certification images are iteratively encoded into multiple cascaded phase masks according to different hierarchical levels.
Journal ArticleDOI
Optical authentication based on moiré effect of nonlinear gratings in phase space
TL;DR: An optical authentication scheme based on the moire effect of nonlinear gratings in phase space that can not only verify the legality of a user identity, but can also discriminate and control the security levels of legal users.
Proceedings ArticleDOI
Real-time imaging through moving scattering layers via a two-step deep learning strategy
TL;DR: In this paper, a two-step deep learning strategy for imaging through moving scattering layers is developed by using two convolution neural network for speckle autocorrelation de-noising and object image reconstruction from autOCorrelation respectively.
Proceedings ArticleDOI
Real-time 3D imaging by using color structured light based on Hilbert transform
TL;DR: The experiment results show that the proposed method can not only acquire 3D data in real-time and one-shot fashion, but also obtain high-resolution and high-density range image data without any error propagation.