基于像增强器的紫外光谱探测系统中的噪声分析

Noise Analysis in UV Spectral Detection Systems Based on Image Intensifiers

摘要: 为大幅度提升紫外光谱探测的灵敏度，本文将紫外像增强器与CCD器件耦合而成的紫外ICCD与分光组件再次耦合，构成直读式紫外光谱探测系统，并对其进行研究。设计了基于像增强器的紫外光谱探测系统，并分别对紫外像增强器的噪声和CCD相机的噪声进行了具体分析。研究实验结果表明：曝光时间越长，CCD图像噪声越小，灰度曲线越平滑；反之，曝光时间越短，CCD图像受噪声影响越大，灰度曲线越剧烈。研究发现，帧积分时间的延长，能够有效降低随机噪声，使图像信噪比增高。本文工作为减少噪声对系统的影响从而提高探测效率，极大拓展紫外光谱探测技术的应用领域，同时为微光夜视技术的发展提供依据。

Abstract: In order to substantially improve the sensitivity of UV spectral detection, this paper couples the UV ICCD, which is made by coupling the UV image intensifier and CCD device, with the spectral component again to form a direct reading UV spectral detection system. The UV spectral detection system based on the image intensifier is designed, and the noise of the UV image intensifier and the noise of the CCD camera are specifically analyzed respectively. The experimental results of the study show that the longer the exposure time is, the less noise the CCD image has and the smoother the grey scale curve is; conversely, the shorter the exposure time is, the more the CCD image is affected by noise and the more drastic the grey scale curve is. It is found that the extension of the frame integration time can effectively reduce the random noise and make the image signal-to-noise ratio higher. The work in this paper provides a basis for reducing the impact of noise on the system and thus improving the detection efficiency, greatly expanding the application area of UV spectral detection technology, and providing a basis for the development of micro-optical night vision technology.