Ms. Zhou Zheng Profile

Zhou Zheng

at Science and Technology on LLL Night Vision Lab

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Publications (7)

Proceedings Article | 13 December 2024 Paper

Research on adaptive control method based on EBAPS camera

Jia-yin Liu, Ke Si, Ye Yang, Zhou Zheng, Xiao-bing Ni, Hai-hao Song, Bo Yan

Proceedings Volume 13496, 1349610 (2024) https://doi.org/10.1117/12.3048043

KEYWORDS: Cameras, Adaptive control, Light sources and illumination, Histograms, CMOS sensors, Night vision, Electric fields, Sensors, Power supplies, Image processing

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Proceedings Article | 13 December 2024 Paper

Research and implementation of EBCMOS non-uniform correction algorithm based on FPGA

Ke Si, Jia-yin Liu, Zhou Zheng, Ye Yang, Xi-lin Yuan, Yu-long Wang, Xu-hong Li, Gang-cheng Jiao

Proceedings Volume 13496, 134960Z (2024) https://doi.org/10.1117/12.3048040

KEYWORDS: Nonuniformity corrections, Matrices, Field programmable gate arrays, Image processing, Detection and tracking algorithms, Annealing

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Proceedings Article | 4 April 2023 Paper

Research on noise characteristics of EBAPS digital low light level device

Tongtong Li, Chao Xiao, Gangcheng Jiao, Lei Yan, Jing Ma, Chenglin Li, Ye Yang, Haibo Fan, Zhou Zheng, Shiwei Lei, Jian Han

Proceedings Volume 12617, 126176F (2023) https://doi.org/10.1117/12.2666708

KEYWORDS: Photons, Signal to noise ratio, Interference (communication), Vacuum, Diffusion, Signal processing, Imaging systems, Image processing, Doping, Sensors

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Electron Bombardment Active Pixel Sensor (EBAPS) can work in photosensitive mode and electrical sensitive mode due to the special doping mode of CMOS. In both operating modes, after the target signal passes through the photoelectric conversion, gain and readout process of the EBAPS device, the readout signal needs to exceed the noise generated by the device to ensure the distinguishable output image. However, in the process of conversion and multiplication of the target signal, noise will inevitably be introduced. The noise will be amplified along with the signal, causing distortion or attenuation of the original signal, thus interfering with the quality of the output image and affecting human observation. Therefore, it is necessary to study the noise characteristics of EBAPS as a key factor affecting the imaging quality. For the development of high-performance EBAPS devices, this paper focuses on the noise characteristics of detection and imaging under different operating modes. By analyzing the working principle of EBAPS devices in different working modes, the noise sources that affect the imaging quality are obtained. In photosensitive mode, the noise of EBAPS is consistent with that of ordinary CMOS image sensor. These noises are mainly affected by CMOS process level, ambient temperature, working time and other factors, and can usually be removed by image processing algorithms. In the electric sensitive mode, the noise of EBAPS mainly comes from GaAs photocathode and the electron multiplication process of CMOS. These noises can be suppressed by reducing the working temperature, improving the surface defects and cleanliness during the chip preparation, and improving the doping process of the substrate. According to the noise generation mechanism, the noise suppression methods are proposed to obtain a high SNR digital output image. The above research provides some references for the following research on noise characteristics and noise reduction methods of digital low light level devices.

Proceedings Article | 4 April 2023 Paper

Research progress of digital true color low-light-level technology

Shiwei Lei, Ye Yang, Zhou Zheng, Lei Yan, Gangcheng Jiao, Tongtong Li, Chao Xiao, Haibo Fan, Jing Ma, Jian Han, Chenglin Li

Proceedings Volume 12617, 126175E (2023) https://doi.org/10.1117/12.2666505

KEYWORDS: Optical filters, Technology, Night vision, Image filtering, Electron multiplying charge coupled devices, Design and modelling, Cameras, Image processing, Digital filtering, Color imaging

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Proceedings Article | 27 March 2022 Paper

Research on an adaptive gray stretch algorithm for digital low-light-level devices

Ye Yang, Zhou Zheng, Lei Yan, Kun Han, Xiaogang Dang, Hongchang Cheng, Gangcheng Jiao, Pengbo Yang, Shiwei Lei

Proceedings Volume 12169, 121690O (2022) https://doi.org/10.1117/12.2620522

KEYWORDS: Image processing, Image enhancement, Image information entropy, Night vision, Digital image processing, Digital Light Processing, Detection and tracking algorithms, Visualization, Optoelectronics, Infrared technology

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Proceedings Article | 27 March 2022 Paper

Research on objective evaluation model for fusion image of multi-source detector

Zhou Zheng, Ye Yang, Gangcheng Jiao, Pengbo Yang, Shiwei Lei, Lei Yan, Hongchang Cheng

Proceedings Volume 12169, 1216907 (2022) https://doi.org/10.1117/12.2619522

KEYWORDS: Image fusion, Image quality, Image analysis, Visual process modeling, Sensors, Detection and tracking algorithms, Night vision, Cameras, Mathematical modeling, Image sensors

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Proceedings Article | 12 March 2021 Paper

Research progress of true color digital night vision technology

Bin Ren, Gangcheng Jiao, Ye Li, Zhou Zheng, Kai Qiao, Ye Yang, Lei Yan, Yuan Yuan

Proceedings Volume 11763, 117636C (2021) https://doi.org/10.1117/12.2587330

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