Influence of Brightness Gain on the Object-Background Contrast of an Image Intensifier

SU Yue; BAI Xiaofeng; DANG Xiaogang; FENG Danqing; CHENG Hongchang; LI Zhoukui; HAN Kun

Volume 44 Issue 4

Apr. 2022

Turn off MathJax

Article Contents

Article Navigation > Infrared Technology > 2022 > 44(4): 383-388

SU Yue, BAI Xiaofeng, DANG Xiaogang, FENG Danqing, CHENG Hongchang, LI Zhoukui, HAN Kun. Influence of Brightness Gain on the Object-Background Contrast of an Image Intensifier[J]. Infrared Technology , 2022, 44(4): 383-388.

Citation:

PDF( 720 KB)

Influence of Brightness Gain on the Object-Background Contrast of an Image Intensifier

SU Yue¹,
BAI Xiaofeng^{1, 2
,
,},
DANG Xiaogang^{1, 2},
FENG Danqing^{1, 2},
CHENG Hongchang^{1, 2},
LI Zhoukui^{1, 2},
HAN Kun^{1, 2}

1.
Kunming Institute of Physics, Kunming 650223, China
2.
Science and Technology on Low-Light-Level Night Vision Laboratory, Xi'an 710065, China

Received Date: 2021-12-21
Rev Recd Date: 2022-01-11
Publish Date: 2022-04-20

Abstract

Abstract

Brightness gain is an important parameter of low-light image intensifiers. It affects the accuracy of the object-background contrast in low-light night vision environments. Based on the principle of contrast tests, this study analyzes the relationship between the brightness gain and the object-background contrast, as well as influencing factors, via the object-background contrast test on an ICCD with different brightness gains. The results show that when the brightness gain is 12000, 8300, or 6000 cd/(m²·lx) and the ambient illuminance is within the range of [2×10^－3, 8×10^－3] (lx), the object-background contrast is minimally affected by the brightness gain. However, when the illuminance is outside this range, the object-background contrast test result may be distorted due to the influence of the brightness gain. The results of this study can guide the improvement of accuracy of ICCD object-background contrast tests.
- image intensifier,
- ICCD,
- object-background contrast,
- brightness gain

FullText(HTML)

References(13)

References

[1]	刘必鎏, 时家明, 赵大鹏, 等. 目标与背景的对比度分析及其应用[J]. 航天电子对抗, 2007, 24(3): 48-51. https://www.cnki.com.cn/Article/CJFDTOTAL-HTDZ200803019.htm LIU Biliu, SHI Jiaming, ZHAO Dapeng, et al. Analysis and application of object and background[J]. Aerospace Electronic Warfare, 2007, 24(3): 48-51. https://www.cnki.com.cn/Article/CJFDTOTAL-HTDZ200803019.htm
[2]	韩坤, 姚泽, 乔凯, 等. 微光ICCD相机的动态调制传递函数理论模型研究[J]. 红外技术, 2020, 42(3): 294-299. http://hwjs.nvir.cn/article/id/hwjs202003013 HAN Kun, YAO Ze, QIAO Kai, et al. Theoretical model of dynamic MTF of low-light-level ICCD[J]. Infrared Technology, 2020, 42(3): 294-299. http://hwjs.nvir.cn/article/id/hwjs202003013
[3]	向世明, 倪国强. 光电子成像器件原理[M]. 北京: 国防工业出版社, 1999. XIANG Shiming, NI Guoqiang. The Principe of Photoelectonic Imaging Devices[M]. Beijing: National Defense Industry Press, 1999.
[4]	陈旭浪, 党小刚, 郭欣达, 等. 基于三代微光ICCD成像装置的目标对比度影响因素测试分析[J]. 应用光学, 2020, 41(6): 1241-1246. https://www.cnki.com.cn/Article/CJFDTOTAL-YYGX202006017.htm CHEN Xulang, DANG Xiaogang, GUO Xinda, et al. Test and analysis of factors influencing target contrast ratio based on 3rd generation LLL ICCD imaging device[J]. Journal of Applied Optics, 2020, 41(6): 1241-1246. https://www.cnki.com.cn/Article/CJFDTOTAL-YYGX202006017.htm
[5]	田园. CCD图像对比度测试方法研究[D]. 长春: 长春理工大学, 2008. TIAN Yuan. Researching on the Testing Method of CCD Picture Contrast[D]. Changchun: Changchun University of Science and Technology.
[6]	周建勋, 王利平, 徐志良. 像增强型夜视系统的图像信息传递[J]. 红外与毫米波学报, 1997, 16(4): 5. https://www.cnki.com.cn/Article/CJFDTOTAL-HWYH704.008.htm ZHOU Jianxun, WANG Liping, XU Zhiliang. Image information transfer of image intensified night vision system[J]. Journal of Infrared & Millimeter Waves, 1997, 16(4): 5. https://www.cnki.com.cn/Article/CJFDTOTAL-HWYH704.008.htm
[7]	汪丽, 田维坚, 王耀祥, 等. 光锥与CCD耦合器件调制传递函数的测试方法[J]. 光子学报, 2005, 34(4): 3. https://www.cnki.com.cn/Article/CJFDTOTAL-GZXB20050400X.htm WANG Li, TIAN Weijian, WANG Yaoxiang, et al. Measurement method for modulation transfer function of fiber optic taper coupled with CCD[J]. Acta Photonica Sinica, 2005, 34(4): 3. https://www.cnki.com.cn/Article/CJFDTOTAL-GZXB20050400X.htm
[8]	王耀祥, 田维坚, 黄琨, 等. 光锥与CCD耦合效率的理论分析[J]. 光子学报, 2004, 33(3): 4. https://www.cnki.com.cn/Article/CJFDTOTAL-GZXB200403016.htm WANG Yaoxiang, TIAN Weijian, HUANG Kun, et al. Theoretical analysis of the coupling efficient between fiber taper and CCD[J]. Acta Photonica Sinica, 2004, 33(3): 4. https://www.cnki.com.cn/Article/CJFDTOTAL-GZXB200403016.htm
[9]	程万胜, 赵杰, 菜鹤皋. CCD像素响应非均匀的校正方法[J]. 光学精密工程, 2008, 16(2): 103-108. https://www.cnki.com.cn/Article/CJFDTOTAL-GXJM200802024.htm CHENG Wansheng, ZHAO Jie, CAI Hegao. Correction method for pixel response nonuniformity of CCD[J]. Optics and Precision Engineering, 2008, 16(2): 103-108. https://www.cnki.com.cn/Article/CJFDTOTAL-GXJM200802024.htm
[10]	吴厚德, 许文海. 多输出CCD接缝的校正[J]. 光学精密工程, 2013, 21(2): 454-461. https://www.cnki.com.cn/Article/CJFDTOTAL-GXJM201302031.htm WU Houde, XU Wenhai. Correction of seams for multiple output CCD[J]. Optics and Precision Engineering, 2013, 21(2): 454-461. https://www.cnki.com.cn/Article/CJFDTOTAL-GXJM201302031.htm
[11]	袁鹏程. 基于像素光子转换特性的图传感器校正方法研究[D]. 哈尔滨: 哈尔滨工程大学, 2019. YUAN Pengcheng. Research on Image Sensor Correction Method Based on Pixel Transfer Characteristics[D]. Harbin: Harbin Engineering University, 2019.
[12]	林祖伦, 王小菊. 光电成像导论[M]. 北京: 国防工业出版社, 2019 LIN Zulun, WANG Xiaoju. Introduction to Optoelectronic Imaging[M]. Beijing: National Defense Industry Press, 2019.
[13]	阴浩, 刘广荣, 金伟其, 等. 像增强型CCD成像系统的分辨力分析[J]. 光子学报, 2010, 39(S1): 96-100. https://www.cnki.com.cn/Article/CJFDTOTAL-GZXB2010S1023.htm YIN Hao, LIU Guangrong, JIN Qiwei, et al. Resolution analysis of image enhanced CCD imaging system[J]. Acta Photonica Sinica, 2010, 39(S1): 96-100. https://www.cnki.com.cn/Article/CJFDTOTAL-GZXB2010S1023.htm