Single-pixel imaging based on compressive sensing with spectral-domain optical mixing

2017 ◽  
Vol 402 ◽  
pp. 119-122 ◽  
Author(s):  
Zhijing Zhu ◽  
Hao Chi ◽  
Tao Jin ◽  
Shilie Zheng ◽  
Xiaofeng Jin ◽  
...  
Optik ◽  
2021 ◽  
pp. 166813
Author(s):  
Rui Zhang ◽  
Wenyi Ren ◽  
Zhilong Xu ◽  
He Wang ◽  
Jiangang Jiang ◽  
...  

2021 ◽  
Author(s):  
Guoqing Wang ◽  
Liyang Shao ◽  
Dongrui Xiao ◽  
Fang Zhao ◽  
Ping Shum ◽  
...  

2021 ◽  
Vol 30 (02) ◽  
Author(s):  
Zhenyong Shin ◽  
Horng Sheng Lin ◽  
Tong-Yuen Chai ◽  
Xin Wang ◽  
Sing Yee Chua

2021 ◽  
Author(s):  
A. Manjarres Garcia ◽  
C. Osorio Quero ◽  
J. Rangel-Magdaleno ◽  
J. Martinez-Carranza ◽  
D. Durini Romero

2018 ◽  
Vol 5 (1) ◽  
pp. 3 ◽  
Author(s):  
Yaniv Oiknine ◽  
Isaac August ◽  
Vladimir Farber ◽  
Daniel Gedalin ◽  
Adrian Stern

Hyperspectral (HS) imaging involves the sensing of a scene’s spectral properties, which are often redundant in nature. The redundancy of the information motivates our quest to implement Compressive Sensing (CS) theory for HS imaging. This article provides a review of the Compressive Sensing Miniature Ultra-Spectral Imaging (CS-MUSI) camera, its evolution, and its different applications. The CS-MUSI camera was designed within the CS framework and uses a liquid crystal (LC) phase retarder in order to modulate the spectral domain. The outstanding advantage of the CS-MUSI camera is that the entire HS image is captured from an order of magnitude fewer measurements of the sensor array, compared to conventional HS imaging methods.


2020 ◽  
Vol 32 (5) ◽  
pp. 287-290 ◽  
Author(s):  
Guangcan Zhou ◽  
Yi Qi ◽  
Zi Heng Lim ◽  
Guangya Zhou

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