激光与光电子学进展, 2018, 55 (8): 080401, 网络出版: 2018-08-13
高灵敏度低噪声科学级CMOS图像传感器微光探测 
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Low Light Level Detection Based on Scientific CMOS Image Sensor with High Sensitivity and Low Noise
探测器 微光探测 微光成像仪 科学级互补金属氧化物半导体（sCMOS）探测器 信噪比 条纹噪声 图像增强 detectors low-light-level detection low-light-level imager scientific complementary metal-oxide-semiconductor signal-to-noise ratio stripe noise image enhancement
摘要
分析了基于科学级互补金属氧化物半导体（sCMOS）图像传感器的微光成像系统的噪声特性，建立了系统噪声模型并进行了系统噪声测试。结果显示，系统噪声的均方根值小于1 e-。建立了系统信噪比模型，计算得到微光成像系统在10-3 lx的夜天光照条件下的信噪比优于1，理论值与实测值之间的误差小于10%。提出了一种自适应的条纹噪声处理方法，有效消除了低照度图像中的行条纹噪声，采用对比度受限的自适应直方图均衡的方法提升了高动态范围图像的对比度。
Abstract
The noise characteristics of a low light level imaging system based on the scientific complementary metal-oxide-semiconductor (sCMOS) image sensor are analyzed. The system noise model is established and the system noise is measured. The results show that the root mean square value of system noise is less than 1 e-. The signal-to-noise ratio (SNR) model is built, the calculated SNR of this low light level imaging system is superior to 1 under 10-3 lx night light conditions, and the error between the theoretical and measured results is less than 10%. An adaptive stripe noise processing method is proposed to effectively eliminate the row stripe noise of image under low light conditions and the contrast limited adaptive histogram equalization method is applied to improve the contrast of image with a high dynamic range.
张元涛, 曹开钦, 孙德新, 刘银年. 高灵敏度低噪声科学级CMOS图像传感器微光探测[J]. 激光与光电子学进展, 2018, 55(8): 080401. Zhang Yuantao, Cao Kaiqin, Sun Dexin, Liu Yinnian. Low Light Level Detection Based on Scientific CMOS Image Sensor with High Sensitivity and Low Noise[J]. Laser & Optoelectronics Progress, 2018, 55(8): 080401.
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