Yuan Sheng

Mr. Yuan Sheng


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 April 2021 in Optics Letters
Verified
Journal Article
Closed access
PDF file
YNYang Ni
Yang Ni
DZDingfu Zhou
Dingfu Zhou
YSYuan Sheng
Yuan Sheng
XBXing Bai
Xing Bai
ZXZhao Xu
Zhao Xu
XZXin Zhou
Xin Zhou
A novel, to the best of our knowledge, color computational ghost imaging scheme is presented for the reconstruction of a color object image, which greatly simplifies the experimental setup and shortens the acquisition time. Compared to conventional schemes, it only adopts one digital light projector to project color speckles and one single-pixel detector to receive the light intensity, instead of utilizing three monochromatic paths separately and synthesizing the three branch results. Severe noise and color distortion, which are common in ghost imaging, can be removed by the utilization of a generative adversarial network, because it has advantages in restoring the image’s texture details and generating the image’s match to a human’s subjective feelings over other generative models in deep learning. The final results can perform consistently better visual quality with more realistic and natural textures, even at the low sampling rate of 0.05.

17 December 2015 in Optics Communications
Verified
Journal Article
Closed access
YSYuan Sheng
Yuan Sheng
JYJianbin Yao
Jianbin Yao
XLXuemei Liu
Xuemei Liu
XZXin Zhou
Xin Zhou
ZLZhongyang Li
Zhongyang Li

9 July 2020 in Optics Letters
Verified
Journal Article
Closed access
PDF file
YSYuan Sheng
Yuan Sheng
LWLanjie Wang
Lanjie Wang
XLXuemei Liu
Xuemei Liu
XZXin Zhou
Xin Zhou
Attack techniques on a cryptosystem include not only cryptanalysis, but also forgery and modification of messages, deception and confusion on both sender and receiver sides, and so on. In this Letter, we show that an optical encryption system based on computational ghost imaging (CGI) has security vulnerability owing to its high tolerance for error deviation of ciphertext. It leaves a chance for a forgery attack in which attackers can forge a set of fake keys according to the intercepted ciphertext. If the forged key can be transmitted to the receiver by some disguised means, he/she may be cheated or confused by the retrieved fake images. The discovery of this vulnerability may also help upgrade the CGI-based encryption system.

1 March 2021 in Optics Communications
Verified
Journal Article
Closed access
YSYuan Sheng
Yuan Sheng
DMDenis Adrian Magayane
Denis Adrian Magayane
XLXuemei Liu
Xuemei Liu
XZXin Zhou
Xin Zhou
GLGuiming Lu
Guiming Lu
ZLZhongyang Li
Zhongyang Li

29 February 2016 in Journal of Modern Optics
Verified
Journal Article
Closed access
YSYuan Sheng
Yuan Sheng
XLXuemei Liu
Xuemei Liu
XZXin Zhou
Xin Zhou
ZLZhongyang Li
Zhongyang Li
A multiple-image encryption (MIE) scheme with a single-pixel detector has been proposed according to the principle of ghost imaging. In this scheme, each of the spatially coherent laser beams is modified by a set of phase-mask keys and illuminates on a secret image. All of the transmitted lights are recorded together by a single-pixel (bucket) detector to obtain a ciphertext, but anyone of the secret images can be decrypted from the ciphertext independently without any mutually overlapped despite some noise in them. The MIE scheme will bring convenience for data storage and transmission, especially in the case that different secret images need to be distributed to different authorized users, because the ciphertext is a real-valued function and this scheme can effectively avoid the secret images being extracted mutually. The basic principle of the MIE scheme is described theoretically and verified by computer simulations. Finally, the feasibility, robustness and encryption capacity are also tested numerically.

28 November 2019 in Electronic Materials Letters
Verified
Journal Article
Closed access
PDF file
YLYu Liu
Yu Liu
ZSZengcai Song
Zengcai Song
YSYuan Sheng
Yuan Sheng
LXLei Xu
Lei Xu
YXYanhui Xin
Yanhui Xin
ZXZhenwei Xia
Zhenwei Xia