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成象器件能探测到图象细节是由于相邻象元之间有对此差异。如以量子数来表示这一对比差异即是两象元所产生的光子数差额。由此量子数的差额构成输出信号,而量子数差额的统计涨落则构成输出噪声。为了定量评定成象器件的图象探测性能,必须导出图象细节的输出信噪比公式。本文在Vries——Rose定律[1]和Hasegawa文章(2)(6)的基础上导出了这一公式。并且又进一步提出了图象探测方程。最后,通过对这一方程的讨论,在理论上分析了各项相关参数对图象探测特性的影响。
The imaging device can detect the details of the image due to the differences between adjacent pixels. Such as the quantum number to represent the contrast difference is the difference between the number of photons generated by two pixels. The difference between the quantum numbers constitutes the output signal, and the statistical fluctuation of the quantum difference constitutes the output noise. In order to quantitatively evaluate the image detection performance of an imaging device, it is necessary to derive the output signal-to-noise ratio formula of the image detail. This paper derives this formula based on Vries - Rose ’s law [1] and Hasegawa’ s article (2) (6). And further proposed image detection equation. Finally, through the discussion of this equation, the influence of various parameters on the detection characteristics of the image is theoretically analyzed.