【摘要】 欠采样噪声产生分布于整个画面的附加像,给目标识别等应用带来困难。基于信息理论,建立了欠采样噪声的应用分析模型,提出了采样成像系统光电一体化设计方法。通过仿真试验,得出欠采样噪声与光学成像系统参数的关系。理论分析和仿真证明,根据系统互信息量选择光、电系统参数,可以减小欠采样噪声,提高图像质量。更多还原

【Abstract】 The undersampled noise is generated and distributed in additional image of a frame, thus brings on difficulty for applications such as object recognition. An application and analysis model for undersampled noise is established on the basis of information theory and an integral electro-optical design method for sampling imaging system is proposed. The relationship between the undersampled noise and the parameters of an electro-optical imaging system is obtained through simulation testing. The theoretical analysis and simulation demonstrate that selection of electro-optical parameters according to system mutual information quantity can lower undersampled noise and improve image quality.更多还原