scholarly journals CCD polarization imaging sensor with aluminum nanowire optical filters

2010 ◽  
Vol 18 (18) ◽  
pp. 19087 ◽  
Author(s):  
Viktor Gruev ◽  
Rob Perkins ◽  
Timothy York
Keyword(s):  
Optical Filters ◽  
Polarization Imaging ◽  
Imaging Sensor

scholarly journals Dual-tier thin film polymer polarization imaging sensor

2010 ◽  
Vol 18 (18) ◽  
pp. 19292 ◽  
Author(s):  
Viktor Gruev ◽  
Jan Van der Spiegel ◽  
Nader Engheta
Keyword(s):  
Thin Film ◽  
Polarization Imaging ◽  
Imaging Sensor ◽  
Film Polymer

scholarly journals CONSTRUCTION AND TEST OF BIO-INSPIRED IMAGING POLARIZATION NAVIGATION PROTOTYPE

2020 ◽  
Vol XLIII-B1-2020 ◽  
pp. 323-329
Author(s):  
H. Lu ◽  
Y. Xie ◽  
K. Zhang ◽  
H. Zhang ◽  
X. M. Zou ◽  
...  
Keyword(s):  
Real Time ◽  
Measurement Accuracy ◽  
Recognition Algorithm ◽  
Dynamic Experiment ◽  
Polarization Imaging ◽  
Polarization Image ◽  
Intensity Images ◽  
Measurement Algorithm ◽  
Imaging Sensor ◽  
Navigation Method

Abstract. Bio-inspired polarization navigation is a promising navigation method inspired by insects’ autonomous foraging and homing behaviour. Many insects acquire their spatial orientation by sensing the polarization pattern of the skylight. We propose utilization of solar meridian in the polarized skylight as an orientation cue because of its significant features. Using its features, we then design and construct an imaging polarization navigation prototype. The prototype consists of a field-division polarization imaging sensor, the corresponding software, an interface, and the solar-meridian recognizing and measurement algorithm. The field-division polarization imaging sensor is the core component of the prototype and acquires polarized intensity images. To adapt to the demand of real-time on navigation system, we then propose an optimized real-time polarization image processing and pattern recognition algorithm based on Hough transform. The azimuth measurement accuracy of the sensor is then calibrated using a facility that is able to get higher azimuth accuracy by measurement of the star light. To verify the navigation capability of the developed system, we use a dynamic experiment, where the prototype is installed on the top of a vehicle and its navigation performance is compared with GNSS.

scholarly journals Dichroic Circular Polarizers Based on Plasmonics for Polarization Imaging Applications

Nanomaterials ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 2145
Author(s):  
Junyan Zheng ◽  
Xin He ◽  
Paul Beckett ◽  
Xinjie Sun ◽  
Zixin Cai ◽  
...  
Keyword(s):  
Incident Light ◽  
Polarization State ◽  
Optical Loss ◽  
Optical Filters ◽  
Transmission Efficiency ◽  
Visible Range ◽  
Angle Of Incidence ◽  
Polarization Imaging ◽  
Visible Wavelengths ◽  
Maximum Transmission

Dichroic circular polarizers (DCP) represent an important group of optical filters that transfer only that part of the incident light with the desired polarization state and absorb the remainder. However, DCPs are usually bulky and exhibit significant optical loss. Moreover, the integration of these kinds of DCP devices can be difficult and costly as different compositions of chemicals are needed to achieve the desired polarization status. Circular polarizers based on metasurfaces require only thin films in the order of hundreds of nanometers but are limited by their sensitivity to angle of incidence. Furthermore, few existing solutions offer broadband operation in the visible range. By using computational simulations, this paper proposes and analyses a plasmonic DCP structure operating in the visible, from 400 nm to 700 nm which overcomes these drawbacks. The resulting circular dichroism transmission (CDT) is more than 0.9, and the maximum transmission efficiency is greater than 78% at visible wavelengths. These CDT characteristics are largely independent of angle of incidence up to angles of 80 degrees.

Polarization imaging sensor for cell and tissue imaging and diagnostics

2006 ◽  
Author(s):  
Hongzhi Zhao ◽  
Qiushui Chen ◽  
Uwe Klimach ◽  
Yingyin Kevin Zou ◽  
Jianhua Xuan
Keyword(s):  
Tissue Imaging ◽  
Polarization Imaging ◽  
Imaging Sensor
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