The i Q-Analyzer, now in Version 6, is the leading market solution in the image quality analysis domain.
Especially in combination with high quality test charts and illumination devices by Image Engineering it is a musthave for every camera manufacturer, independent of application area.
The smaller sensor is then operating at a lower ISO setting, by the square of the crop factor.) And, we might compare the depth of field of sensors receiving the same photometric exposure – the f-number is fixed instead of the aperture diameter – the sensors are operating at the same ISO setting in that case, but the smaller sensor is receiving less total light, by the area ratio.
The ratio of depths of field is then is the relative crop factor between the sensors.
The change in depth of field is brought about by the requirement for a different degree of enlargement to achieve the same final image size.
In this case the ratio of depths of field becomes Discounting pixel response non-uniformity (PRNU), which is not intrinsically sensor-size dependent, the noises in an image sensor are shot noise, read noise, and dark noise.
Using the same absolute aperture diameter for both formats with the “same picture” criterion (equal angle of view, magnified to same final size) yields the same depth of field.
It is equivalent to adjusting the f-number inversely in proportion to crop factor – a smaller f-number for smaller sensors.
Considering a picture with the same subject distance and angle of view for two different formats: .
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It is this result that gives rise to the common opinion that small sensors yield greater depth of field than large ones.
An alternative is to consider the depth of field given by the same lens in conjunction with different sized sensors (changing the angle of view).
The overall signal to noise ratio of a sensor (SNR), observed at the scale of a single pixel, is Each of these noises has a different dependency on sensor size.