scholarly journals Imaging in turbid water based on a Hadamard single-pixel imaging system

2021 ◽  
Author(s):  
Xin Yang ◽  
Yang LIU ◽  
xinyue mou ◽  
Tianyu Hu ◽  
Fei YUAN ◽  
...  
Keyword(s):  
Imaging System ◽  
Turbid Water ◽  
Water Based ◽  
Single Pixel

A compressive sensing single pixel imaging system using in-fiber grating

2021 ◽  
Author(s):  
Guoqing Wang ◽  
Liyang Shao ◽  
Dongrui Xiao ◽  
Fang Zhao ◽  
Ping Shum ◽  
...  
Keyword(s):  
Compressive Sensing ◽  
Imaging System ◽  
Fiber Grating ◽  
Single Pixel

A Single-Pixel Imaging System with a Target in the Middle of Double Scattering Medium

2016 ◽  
Vol 36 (6) ◽  
pp. 0611001
Author(s):  
韩建辉 Han Jianhui ◽  
田勇志 Tian Yongzhi ◽  
范晓杭 Fan Xiaohang ◽  
辛昊毅 Xin Haoyi ◽  
胡杨明 Hu Yangming ◽  
...  
Keyword(s):  
Imaging System ◽  
Double Scattering ◽  
Scattering Medium ◽  
Single Pixel

Target recognition method based on single-pixel imaging system and deep learning in the noisy environment

2020 ◽  
Vol 49 (6) ◽  
pp. 20200010
Author(s):  
石峰 Feng Shi ◽  
陆同希 Tongxi Lu ◽  
杨书宁 Shuning Yang ◽  
苗壮 Zhuang Miao ◽  
杨晔 Ye Yang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Imaging System ◽  
Target Recognition ◽  
Noisy Environment ◽  
Recognition Method ◽  
Single Pixel

Broadband terahertz single pixel imaging system

2020 ◽  
Author(s):  
Adam Vallés ◽  
Jiahuan He ◽  
Taisei Ookawa ◽  
Seigo Ohno ◽  
Katsuhiko Miyamoto ◽  
...  
Keyword(s):  
Imaging System ◽  
Single Pixel ◽  
Broadband Terahertz

scholarly journals Detecting the Trajectory of Moving Object for Single-Pixel Imaging System

2018 ◽  
Vol 160 ◽  
pp. 07002
Author(s):  
Shao Hui ◽  
Wu Dongsheng ◽  
Chen Jie ◽  
Li Zhao ◽  
Xu Xiaoxue ◽  
...  
Keyword(s):  
Computer Simulation ◽  
Compressed Sensing ◽  
Imaging System ◽  
Moving Object ◽  
Weighted Sum ◽  
Angle Change ◽  
Ideal Situation ◽  
Simulation Results ◽  
Orientation Parameters ◽  
Single Pixel

In order to get the trajectory of moving object using single-pixel imaging system, an algorithm is proposed. The same pseudorandom masks are employed to illuminate the different time scene. A time weighted sum of the background correction signals is employed to get the trajectory information using compressed sensing (CS) method. In ideal situation, we can obtain other parameters (e.g., speed, orientation) besides the trajectory. However, the reflective intensity of the object can be change due to the reflective angle change caused by the motion in some situations. This will mislead for achieving the speed, orientation parameters. In order to eliminate this effect, a division method is utilized. At last, the computer simulation results prove the effect validity of the proposed algorithm.

Single-Pixel Spatial Frequency Domain Imaging System Based on Lock-in Photon-Counting Detection

2019 ◽  
Vol 39 (4) ◽  
pp. 0412002
Author(s):  
赵宽心 Zhao Kuanxin ◽  
李同心 Li Tongxin ◽  
侯茜 Hou Xi ◽  
但迈 Dan Mai ◽  
高峰 Gao Feng
Keyword(s):  
Spatial Frequency ◽  
Frequency Domain ◽  
Imaging System ◽  
Photon Counting ◽  
Spatial Frequency Domain Imaging ◽  
Lock In ◽  
Single Pixel ◽  
Spatial Frequency Domain
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