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Evaluating Image Sensor Sensitivity by Measuring Camera Signal-to-Noise Ratio

机译:通过测量相机信噪比来评估图像传感器的灵敏度

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摘要

Image sensor sensitivity is critical for machine vision applications where illumination is limited and large depth of field is required. In this paper a method is presented for evaluating image sensor sensitivity by measuring camera signal-to-noise ratio (SNR). The method is simple to implement and produces accurate results. The method measures SNR as a function of target illumination, and relates this to image sensor sensitivity by normalizing with respect to image sensor pixel size. The method can be used to compare cameras with different types and sizes of image sensors, and is particularly useful in comparing the sensitivities of different CMOS sensors, and for comparing CMOS and CCD sensors. We present a new measure of sensitivity: SNR per unit luminous flux-time. The new measure enables the direct comparison of sensor performance.
机译:图像传感器的灵敏度对于照明受限且需要大景深的机器视觉应用至关重要。本文提出了一种通过测量相机信噪比(SNR)来评估图像传感器灵敏度的方法。该方法易于实施并且产生准确的结果。该方法测量SNR作为目标照度的函数,并且通过相对于图像传感器像素大小进行归一化而将其与图像传感器灵敏度相关联。该方法可用于比较具有不同类型和尺寸的图像传感器的相机,并且在比较不同CMOS传感器的灵敏度以及比较CMOS和CCD传感器时特别有用。我们提出了一种新的灵敏度度量:单位光通量时间SNR。这项新措施可以直接比较传感器性能。

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