微光电视成像系统表征方法
Characterization method for lowlightlevel TV imaging system
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摘要: 在分析微光电视成像系统的基础上,提出了适用于微光电视成像系统仿真所用的微光场景图像数据的要求及生成方法;针对第二代近贴聚焦系统和第三代像增强系统,建立了微光电视成像系统的能量增益理论模型;引入3维噪声理论模型表征了微光成像系统的噪声;最后,提出了微光电视图像噪声抑制算法的评价方法。仿真结果表明:经微光系统传递后,图像中的高频信息变模糊,加入噪声后,信噪比降低;而经过5帧平均算法后的图像质量明显改善,对比度增加。Abstract: On the basis of analyzing low-light-level (LLL) TV imaging system, this paper presents conditions required and generation method of LLL scene digital image data suitable for LLL TV imaging system simulation. Focusing on the second generation proximity focusing system and the third generation imager intensifier system, energy gain theoretical model of LLL TV imaging system is derived. Then, main noise sources of the system are modeled by introducing 3D noise model. At last, the assessment method of the degression of image enhancement algorithm on image noise is proposed.Simulative results show that the high frequency information becomes blur after being transfered through the system, signal to noise ratio reduces because of introduction of noise,and image quality and contrast are greatly
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