1/f Noise Reduction and Image Enhancement on CMOS Image Sensors by Autocorrelation Based on Adaptive Algorithm

Author(s):  
Kunsu Hwang ◽  
T. H. Nishimura
Sensors ◽  
2016 ◽  
Vol 16 (4) ◽  
pp. 514 ◽  
Author(s):  
Assim Boukhayma ◽  
Arnaud Peizerat ◽  
Christian Enz

Sensors ◽  
2010 ◽  
Vol 10 (10) ◽  
pp. 9139-9154 ◽  
Author(s):  
Sungho Suh ◽  
Shinya Itoh ◽  
Satoshi Aoyama ◽  
Shoji Kawahito

2011 ◽  
Vol 32 (2) ◽  
pp. 025012 ◽  
Author(s):  
Binqiao Li ◽  
Jiangtao Xu ◽  
Shuang Xie ◽  
Zhongyan Sun

2013 ◽  
Vol 10 (15) ◽  
pp. 20130299-20130299 ◽  
Author(s):  
Mohd Amrallah Mustafa ◽  
Min-Woong Seo ◽  
Shoji Kawahito ◽  
Keita Yasutomi ◽  
Kiichiro Kagawa

2018 ◽  
Vol 1 (6) ◽  
pp. 146-149
Author(s):  
Kapil Jainwal ◽  
Chandani Anand ◽  
Mukul Sarkar

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.


Author(s):  
Jing Fu ◽  
Jie Feng ◽  
Yu-Dong Li ◽  
Qi Guo ◽  
Ying Wei ◽  
...  

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