Compute sensor dynamic range (in dB).
DR = sensorDR(ISA,integrationTime)
This algorithm calculates the ratio of the maximum pixel current divided
by the minimum voltage.
DR = 20 * log10(maxVoltage ./ minVoltage);
The maximum voltage is determined by the voltage swing minus the
darkvoltage.
The minimum voltage depends on the noise, sqrt(dkVariance + rnVariance +
offsetSD.^2); Noise is measured in electrons, because these noise
terms are Poisson in electrons (but not in volts).
The noise is calculated as if we randomly pick a single pixel from the
image sensor array. For this model, the single pixel has the noise
inherent in the pixel and the noise inherent in the variation across the
sensor array. In this model the sensor DR is smaller than the pixel DR.
Another possible sensorDR model is to assume that we are averaging
across some number of pixels. In that case, the noise will go down
because the spatial averaging will reduce the total noise. This model,
not calculated here, results in a sensor DR that exceeds the pixel DR
(unless DSNU is very high).
If non integrationTime is specified, the integration time from the
currently selected sensor is used. If no sensor is specified, the
currently selected sensor is used. If the sensor is set to
auto-exposure or 0 integration time, an empty value is returned for DR.
Example:
DR = sensorDR(vcGetObject('sensor'),0.10)
Copyright ImagEval Consultants, LLC, 2005