基于信息失真的光电成像系统优化方法

提出了一种利用信息失真参数研究光电成像系统优化匹配的新方法。分析了光电成像系统频谱混叠问题，将物光强函数分解为一系列非负谐波函数，并对谐波的成像结果进行了求解。在此基础上，建立了物、像与光电系统的信息模型，进而对不同光学系统截止频率下的信息失真度进行了数值计算，阐述了基于信息失真的光学系统与探测器的匹配关系。结果表明，当探测器像元边长为10 μm时，高斯物频谱应选择截止频率为100 mm-1的衍射受限光学系统才能获得最小失真度0.144 1。

Optimization method of electro-optical imaging systembased on information distortion

A novel method was presented to optimize the matching of photoelectric imaging system by using information distortion parameters. The problem of spectral aliasing in photoelectric imaging system was analyzed. The object light intensity function was decomposed into a series of non-negative harmonic waves and the image harmonic waves were calculated. Thus, the information models of object, image and electro-optical system were built up. Moreover, the information distortions with different optical system cutoff frequencies were calculated, and the matching relationship between the optical system and the detector based on information distortion was described. Results show that, when the detector pixel width is 10 μm, the Gaussian spectrum should choose the diffraction-limited optical system with the cut-off frequency of 100 mm-1 in order to obtain the minimum distortion 0.144 1.