Natural color low-level-light EBAPS imaging system based on three-color LCTF

LIU Xuan; LI Ruiqiang; LI Li; JIN Weiqi; CHENG Hongchang; YAN Lei; ZHENG Zhou

doi:10.5768/JAO202243.0604002

Volume 43 Issue 6

Nov. 2022

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Article Navigation > Journal of Applied Optics > 2022 > 43(6): 1044-1053

LIU Xuan, LI Ruiqiang, LI Li, JIN Weiqi, CHENG Hongchang, YAN Lei, ZHENG Zhou. Natural color low-level-light EBAPS imaging system based on three-color LCTF[J]. Journal of Applied Optics, 2022, 43(6): 1044-1053. doi: 10.5768/JAO202243.0604002

Citation:

LIU Xuan, LI Ruiqiang, LI Li, JIN Weiqi, CHENG Hongchang, YAN Lei, ZHENG Zhou. Natural color low-level-light EBAPS imaging system based on three-color LCTF[J]. Journal of Applied Optics, 2022, 43(6): 1044-1053. doi: 10.5768/JAO202243.0604002

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Natural color low-level-light EBAPS imaging system based on three-color LCTF

doi: 10.5768/JAO202243.0604002

1.
Key Laboratory of Photoelectronic Imaging Technology and System (Ministry of Education), School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
2.
Science and Technology on Low-Light-Level Night Vision Laboratory, Xi'an 710065, China

Received Date: 2022-08-17
Rev Recd Date: 2022-10-05
Publish Date: 2022-11-14

Abstract

Abstract

The high-sensitivity electron bombarded active pixel sensor (EBAPS) not only has the characteristics of high gain and high sensitivity of vacuum imaging devices, but also has the digital characteristics of solid-state imaging devices, which greatly improves the level of night vision imaging. A natural color low-level-light EBAPS imaging system was built based on three-color liquid crystal tunable filter (LCTF). According to the characteristics of low-level-light images, the color enhancement processing such as grayscale stretching, white balance, and color correction was performed on the color images obtained by the system. The experimental results show that the system can realize the natural low-illumination color imaging that reflects the color characteristics of the scene itself, which can effectively improve the observation effect of the characteristics of the target scene at night, and can realize the color imaging under 5×10⁻⁴ lx illumination.
- electron bombarded active pixel sensor,
- liquid crystal tunable filter,
- color low-level-light imaging,
- white balance,
- color correction

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References(20)

References

[1]	朱进, 李力, 金伟其, 等. 低照度夜视成像的自然感彩色化及增强方法[J]. 光子学报,2018,47(4):165-174. ZHU Jin, LI Li, JIN Weiqi, et al. Natural-appearance colorization and enhancement for the low-light-level night vision imaging[J]. Acta Photonica Sinica,2018,47(4):165-174.
[2]	金伟其, 王岭雪, 赵源萌, 等. 彩色夜视成像处理算法的新进展[J]. 红外与激光工程,2008,37(1):147-150. doi: 10.3969/j.issn.1007-2276.2008.01.034 JIN Weiqi, WANG Lingxue, ZHAO Yuanmeng, et al. Developments of image processing algorithms for color night vision[J]. Infrared and Laser Engineering,2008,37(1):147-150. doi: 10.3969/j.issn.1007-2276.2008.01.034
[3]	刘缠牢, 谭立勋, 李春燕, 等. 红外图像伪彩色编码和处理[J]. 应用光学,2006,27(5):419-422. doi: 10.3969/j.issn.1002-2082.2006.05.014 LIU Chanlao, TAN Lixun, LI Chunyan, et al. Pseudo color coding and processing for infrared images[J]. Journal of Applied Optics,2006,27(5):419-422. doi: 10.3969/j.issn.1002-2082.2006.05.014
[4]	TOET A. Colorizing single band intensified night vision images[J]. Displays,2005,26(1):15-21. doi: 10.1016/j.displa.2004.09.007
[5]	WELSH T, ASHIKHMIN M V, MUELLER K D. Transferring color to greyscale images[J]. ACM Transactions on Graphics (TOG),2002,21(3):277-280. doi: 10.1145/566654.566576
[6]	REINHARD E, ASHIKHMIN M, GOOCH B, et al. Color transfer between images[J]. IEEE Computer Graphics & Applications,2002,21(5):34-41.
[7]	王岭雪, 史世明, 金伟其, 等. 基于YUV空间的双通道视频图像色彩传递及实时系统[J]. 北京理工大学学报,2007,27(3):189-191. doi: 10.3969/j.issn.1001-0645.2007.03.001 WANG Lingxue, SHI Shiming, JIN Weiqi, et al. Color transfer and its real-time system based on a YUV space for dual-channel video images[J]. Transactions of Beijing Institute of Technology,2007,27(3):189-191. doi: 10.3969/j.issn.1001-0645.2007.03.001
[8]	YUAN Tao, HAN Zhenghao, LI Li, et al. Tunable-liquid-crystal-filter-based low-light-level color night vision system and its image processing method[J]. Applied Optics,2019,58(18):4947-4955. doi: 10.1364/AO.58.004947
[9]	金伟其, 陶禹, 石峰, 等. 微光视频器件及其技术的进展[J]. 红外与激光工程,2015,44(11):3167-3176. doi: 10.3969/j.issn.1007-2276.2015.11.001 JIN Weiqi, TAO Yu, SHI Feng, et al. Progress of low level light video technology[J]. Infrared and Laser Engineering,2015,44(11):3167-3176. doi: 10.3969/j.issn.1007-2276.2015.11.001
[10]	HAN Zhenghao, LI Li, JIN Weiqi, et al. Denoising and motion artifact removal using deformable kernel prediction neural network for color intensified CMOS[J]. Sensors,2021,21:3891. doi: 10.3390/s21113891
[11]	HEIM G B, BURKEPILE J, FRAME W W. Low-light-level EMCCD color camera[J]. SPIE:The International Society for Optical Engineering,2006,62090F:62090F-11.
[12]	HERTEL D , MARECHAL H , TEFERA D A , et al. A low-cost VIS-NIR true color night vision video system based on a wide dynamic range CMOS imager[C]// 2009 IEEE Intelligent Vehicles Symposium, Xi'an, China. US: IEEE, 2009: 273-278.
[13]	Photonis. Nocturn U3 [EB/OL]. (2014-12-21)[2022-07-25].https://www.photonisdefense.com/products /nocturn-u3.
[14]	BEAR P D , WALRATH L C . Color night vision goggles capable of providing anti-jamming protection against pulsed and continuous wave jamming lasers: US05756989A[P]. 1998-05-26.
[15]	Tenebraex. ColorPath CCNVD color capable night vision[EB/OL]. (2007-12-28) [2022-07-25]. http:// camouflage. com.
[16]	陈一超, 胡文刚, 武东生, 等. 三波段微光彩色夜视方法研究[J]. 应用光学,2015,36(3):430-434. doi: 10.5768/JAO201536.0304001 CHEN Yichao, HU Wengang, WU Dongsheng, et al. Triple-band low light level color night vision technology[J]. Journal of Applied Optics,2015,36(3):430-434. doi: 10.5768/JAO201536.0304001
[17]	FOSTER D H. Color constancy[J]. Vision Research,2011,51(7):674-700.
[18]	王海琳, 韩正昊, 李力, 等. 基于残差和高频替换的SONY-RGBW阵列彩色重构方法[J]. 激光与光电子学进展,2021,58(20):66-78. WANG Hailin, HAN Zhenghao, LI Li, et al. Residual and high-frequency replacement based color reconstruction method for SONY-RGBW array[J]. Laser & Optoelectronics Progress,2021,58(20):66-78.
[19]	李晓川, 黄成强, 祝永新, 等. 基于暗通道先验和灰度世界的自动白平衡算法改进[J]. 工业控制计算机,2018,31(11):90-92. doi: 10.3969/j.issn.1001-182X.2018.11.038 LI Xiaochuan, HUANG Chengqiang, ZHU Yongxin, et al. An improved automatic white balance method based on dark channel prior theory and gray world assumption[J]. Industrial Control Computer,2018,31(11):90-92. doi: 10.3969/j.issn.1001-182X.2018.11.038
[20]	金伟其, 王霞, 廖宁放, 等. 辐射度光度与色度及其测量[M]. 2版. 北京: 北京理工大学出版社, 2016: 148. JIN Weiqi, WANG Xia, LIAO Ningfang, et al. Photometry, radiometry, colorimetry & measurement [M]. 2nd ed. Beijing: Beijing Institute of Technology Press, 2016: 148.