Hello Sedat,
Yes, you still need to enter detector
Gain,
Gaussian noise, and
Offset.
Here are tips on how to find these numbers:
1) Camera manufacturer data: Manufacturers sometimes provide gain in e-/DN and read noise in e-. Use this gain value and for
Gaussian noise use read noise divided by gain. For example, if gain is 0.5 e-/DN and read noise is 8 e-, use 8 / 0.5 = 16 DN for
Gaussian noise. Set
Offset to 0 DN (because the image to be denoised has been calibrated). Note that some cameras allow you to switch between low and high gain, or change the amount of binning, and manufacturers may not provide data covering all of these cases. In situations like this you may need to follow 3) below.
2) Camera manufacturer gain parameter charts: Manufacturers sometimes provide gain parameter charts, here the gain parameter is not actually detector gain but rather a camera control parameter. You have to read gain in e-/DN and read noise in e- from charts. Then you calculate
Gaussian noise in DN as in 1) above. Set
Offset to 0 DN. See this
post for an example.
3) Scripts
Image Analysis >
FlatSNREstimator and
DarkBiasNoiseEstimator: These two scripts provide
Gain in e- and
Gaussian noise in DN using calibration frames you supply. You need two bias frames and two flat frames.
DarkBiasNoiseEstimator provides a value which it calls
Temporal noise in DN. Use this value for
Gaussian noise.
DarkBiasNoiseEstimator also provides
Offset, but don't use this value, use 0 DN instead as above.
FlatSNREstimator provides
Gain, use this and ignore the other provided values.
For long exposures where dark current is more of a factor, you can supply to two dark frames to
DarkBiasNoiseEstimator rather than two bias frames. This will give you a
Gaussian noise value that accounts for the dark current noise. On the other hand, for
FlatSNREstimator, a bias frame along with two well-exposed flat frames suffices.
