Structural Color Technology for High Pixel Density Image Sensors

2021 ◽  
Vol 41 (8) ◽  
pp. 0823010
Author(s):  
陈沁 Chen Qin ◽  
文龙 Wen Long ◽  
杨先光 Yang Xianguang ◽  
李宝军 Li Baojun
Nanoscale ◽  
2021 ◽  
Author(s):  
Mingjie Chen ◽  
Long Wen ◽  
Dahui Pan ◽  
David Cumming ◽  
Xianguang Yang ◽  
...  

Pixel scaling effects have been a major issue for the development of high-resolution color image sensors due to the reduced photoelectric signal and the color crosstalk. Various structural color techniques...


2014 ◽  
Vol 2014 ◽  
pp. 1-17 ◽  
Author(s):  
Yan Yu ◽  
Long Wen ◽  
Shichao Song ◽  
Qin Chen

Structural color filters, which obtain color selection by varying structures, have attracted extensive research interest in recent years due to the advantages of compactness, stability, multifunctions, and so on. In general, the mechanisms of structural colors are based on the interaction between light and structures, including light diffraction, cavity resonance, and surface plasmon resonance. This paper reviews recent progress of various structural color techniques and the integration applications of structural color filters in CMOS image sensors, solar cells, and display.


2013 ◽  
Vol 7 (3) ◽  
pp. 240-246 ◽  
Author(s):  
Seiji Nishiwaki ◽  
Tatsuya Nakamura ◽  
Masao Hiramoto ◽  
Toshiya Fujii ◽  
Masa-aki Suzuki
Keyword(s):  

2021 ◽  
Vol 30 (1) ◽  
pp. 7-12
Author(s):  
Mayumi Maesako ◽  
Takafumi Kishimoto ◽  
Taku Horie ◽  
Miki Suzuki ◽  
Kazuho Inoue ◽  
...  

2020 ◽  
Vol 2020 (16) ◽  
pp. 41-1-41-7
Author(s):  
Orit Skorka ◽  
Paul J. Kane

Many of the metrics developed for informational imaging are useful in automotive imaging, since many of the tasks – for example, object detection and identification – are similar. This work discusses sensor characterization parameters for the Ideal Observer SNR model, and elaborates on the noise power spectrum. It presents cross-correlation analysis results for matched-filter detection of a tribar pattern in sets of resolution target images that were captured with three image sensors over a range of illumination levels. Lastly, the work compares the crosscorrelation data to predictions made by the Ideal Observer Model and demonstrates good agreement between the two methods on relative evaluation of detection capabilities.


Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5459
Author(s):  
Wei Deng ◽  
Eric R. Fossum

This work fits the measured in-pixel source-follower noise in a CMOS Quanta Image Sensor (QIS) prototype chip using physics-based 1/f noise models, rather than the widely-used fitting model for analog designers. This paper discusses the different origins of 1/f noise in QIS devices and includes correlated double sampling (CDS). The modelling results based on the Hooge mobility fluctuation, which uses one adjustable parameter, match the experimental measurements, including the variation in noise from room temperature to –70 °C. This work provides useful information for the implementation of QIS in scientific applications and suggests that even lower read noise is attainable by further cooling and may be applicable to other CMOS analog circuits and CMOS image sensors.


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