Design and simulation of electrically addressed infrared filtering chip based on cascaded liquid-crystal Fabry-Perot effect for integration application of infrared spectral imaging sensor array

2013 ◽  
Author(s):  
Huaidong Zhang ◽  
Anbang Fu ◽  
Xinyu Zhang ◽  
Hongshi Sang ◽  
Changsheng Xie
Keyword(s):  
Liquid Crystal ◽  
Sensor Array ◽  
Spectral Imaging ◽  
Fabry Perot ◽  
Infrared Spectral ◽  
Imaging Sensor

MWIR/LWIR filter based on Liquid–Crystal Fabry–Perot structure for tunable spectral imaging detection

2015 ◽  
Vol 69 ◽  
pp. 68-73 ◽  
Author(s):  
Huaidong Zhang ◽  
Afzal Muhammad ◽  
Jun Luo ◽  
Qing Tong ◽  
Yu Lei ◽  
...  
Keyword(s):  
Liquid Crystal ◽  
Spectral Imaging ◽  
Fabry Perot ◽  
Imaging Detection

scholarly journals Compressive Sensing Hyperspectral Imaging by Spectral Multiplexing with Liquid Crystal

2018 ◽  
Vol 5 (1) ◽  
pp. 3 ◽  
Author(s):  
Yaniv Oiknine ◽  
Isaac August ◽  
Vladimir Farber ◽  
Daniel Gedalin ◽  
Adrian Stern
Keyword(s):  
Liquid Crystal ◽  
Compressive Sensing ◽  
Hyperspectral Imaging ◽  
Spectral Properties ◽  
Sensor Array ◽  
Spectral Imaging ◽  
Spectral Domain ◽  
Imaging Methods ◽  
Order Of Magnitude ◽  
Spectral Multiplexing

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.

scholarly journals Underwater Spectral Imaging System Based on Liquid Crystal Tunable Filter

2021 ◽  
Vol 9 (11) ◽  
pp. 1206
Author(s):  
Hong Song ◽  
Syed Raza Mehdi ◽  
Chaopeng Wu ◽  
Zixin Li ◽  
Hai Gong ◽  
...  
Keyword(s):  
Liquid Crystal ◽  
Imaging System ◽  
Spectral Response ◽  
Image Data ◽  
Spectral Imaging ◽  
Tunable Filter ◽  
Test Analysis ◽  
Spectral Bands ◽  
Collecting Efficiency ◽  
Imaging Sensor

In the past decade, underwater spectral imaging (USI) has shown great potential in underwater exploration for its high spectral and spatial resolution. This proposal presents a stare-type USI system combined with the liquid crystal tunable filter (LCTF) spectral splitting device. Considering the working features of LCTF and the theoretical model of USI, the core structure containing “imaging lens-LCTF-imaging sensor” is designed and developed. The system is compact, and the optical geometry is constructed minimally. The spectral calibration test analysis proved that the spectral response range of the system covers a full band of 400 nm to 700 nm with the highest spectral resolution between 6.7 nm and 18.5 nm. The experiments show that the system can quickly collect high-quality spectral image data by switching between different spectral bands arbitrarily. The designed prototype provides a feasible and reliable spectral imaging solution for in situ underwater targets observation with high spectrum collecting efficiency.

An arrayed infrared filter based on liquid crystal Fabry-Perot effect for electrically tunable spectral imaging detection

2015 ◽  
Author(s):  
Jiuning Lin ◽  
Qing Tong ◽  
Jun Luo ◽  
Yu Lei ◽  
Xinyu Zhang ◽  
...  
Keyword(s):  
Liquid Crystal ◽  
Spectral Imaging ◽  
Fabry Perot ◽  
Imaging Detection

Electrically tunable infrared filter based on a cascaded liquid-crystal Fabry–Perot for spectral imaging detection

2017 ◽  
Vol 56 (7) ◽  
pp. 1925 ◽  
Author(s):  
Jiuning Lin ◽  
Qing Tong ◽  
Yu Lei ◽  
Zhaowei Xin ◽  
Dong Wei ◽  
...  
Keyword(s):  
Liquid Crystal ◽  
Spectral Imaging ◽  
Fabry Perot ◽  
Imaging Detection
Sign in / Sign up

Export Citation Format

Share Document