Main routine for computing the sensor voltage data from the optical image
[voltImage,dsnu,prnu] = sensorComputeImage(OI,ISA,wBarHandles)
Compute the sensor voltage image from the sensor parameters and the
optical image. This is the main computational routine used to compute
the sensor image, and it calls a variety of sub-routines that implement
many parts of the calculation.
The spatial array of volts is routined by this routine. In addition,
the fixed pattern offset (dsnu) and photoresponse nonuniformity (prnu)
can also be returned.
If you don't want to show any waitbars, set showWaitBar to 0. Default is 1.
COMPUTATIONAL OVERVIEW
1. The current generated at each pixel by the signal is computed
(signalCurrent). This is converted to a voltage using the cur2volt
parameter.
2. The dark voltage is computed and added to the signal.
3. Shot noise is computed for the sum of signal and dark voltage
signal. This noise is added. Hence, the Poisson noise includes
both the uncertainty due to the signal and the uncertainty due to
the dark voltage. (It is possible to turn this off by a scripting
command using sensorSet(sensor,'shotNoiseFlag',0)).
4. Read noise is added.
5. If the sensor fixed pattern noises, DSNU and PRNU were
previously stored, they are added/multipled into the signal.
Otherwise, they are computed and stored and then combined into the
signal.
6. If column FPN is selected and stored, it is retrieved and
combined into the signal. If column FPN is selected but not
stored, it is computed and applied. Finally, if it is not selected,
it is not applied.
Many more notes on the calculation, including all the units are
embedded in the comments below.
If the waitBar handles are provided, they are used to show progress.
WIthout the waitbar handles, not waitbars are shown.
Example:
volts = sensorComputeImage(vcGetObject('oi'),vcGetObject('ISA'));
Copyright ImagEval Consultants, LLC, 2003.