scholarly journals Effect of pro-proximity pulse voltage on the third-generation low light level image intensifiers halo effect

2013 ◽  
Vol 62 (1) ◽  
pp. 014206
Author(s):  
Ren Ling ◽  
Shi Feng ◽  
Guo Hui ◽  
Cui Dong-Xu ◽  
Shi Ji-Fang ◽  
...  
Keyword(s):  
Light Level ◽  
Halo Effect ◽  
Pulse Voltage ◽  
Third Generation ◽  
Low Light ◽  
The Third ◽  
Image Intensifiers

Effect of pro-proximity pulse voltage on the noise characteristics of generation III low-light-level image intensifiers

Optik ◽  
2018 ◽  
Vol 154 ◽  
pp. 405-410
Author(s):  
Honggang Wang ◽  
Jing Gong ◽  
Gang Wang ◽  
Lili Wang ◽  
Yuzhen Zhang ◽  
...  
Keyword(s):  
Light Level ◽  
Pulse Voltage ◽  
Low Light ◽  
Noise Characteristics ◽  
Image Intensifiers

Test and analysis of the halo in low-light-level image intensifiers

2012 ◽  
Vol 10 (6) ◽  
pp. 060401-60403 ◽  
Author(s):  
Dongxu Cui Dongxu Cui ◽  
Ling Ren Ling Ren ◽  
Feng Shi Feng Shi ◽  
Jifang Shi Jifang Shi ◽  
Yunsheng Qian Yunsheng Qian ◽  
...  
Keyword(s):  
Light Level ◽  
Low Light ◽  
Image Intensifiers

Halo performance on low light level image intensifiers

2013 ◽  
Author(s):  
Dongxu Cui ◽  
Ling Ren ◽  
Benkang Chang ◽  
Feng Shi ◽  
Jifang Shi ◽  
...  
Keyword(s):  
Light Level ◽  
Low Light ◽  
Image Intensifiers

scholarly journals Denoising and Motion Artifact Removal Using Deformable Kernel Prediction Neural Network for Color-Intensified CMOS

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3891
Author(s):  
Zhenghao Han ◽  
Li Li ◽  
Weiqi Jin ◽  
Xia Wang ◽  
Gangcheng Jiao ◽  
...  
Keyword(s):  
Neural Network ◽  
Noisy Data ◽  
Motion Artifact ◽  
Light Level ◽  
Motion Artifacts ◽  
Night Vision ◽  
Artifact Removal ◽  
Low Light ◽  
Color Imaging ◽  
Image Intensifiers

Image intensifiers are used internationally as advanced military night-vision devices. They have better imaging performance in low-light-level conditions than CMOS/CCD. The intensified CMOS (ICMOS) was developed to satisfy the digital demand of image intensifiers. In order to make the ICMOS capable of color imaging in low-light-level conditions, a liquid-crystal tunable filter based color imaging ICMOS was developed. Due to the time-division color imaging scheme, motion artifacts may be introduced when a moving target is in the scene. To solve this problem, a deformable kernel prediction neural network (DKPNN) is proposed for joint denoising and motion artifact removal, and a data generation method which generates images with color-channel motion artifacts is also proposed to train the DKPNN. The results show that, compared with other denoising methods, the proposed DKPNN performed better both on generated noisy data and on real noisy data. Therefore, the proposed DKPNN is more suitable for color ICMOS denoising and motion artifact removal. A new exploration was made for low-light-level color imaging schemes.

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