|
CCDStack
I use Poisson sigma-reject on small stacks (4 to 8 subs). Its very reliable at detecting outliers after good normalisation (selecting both background and highlight manually).
For large stacks (8+ subs), STD sigma-reject is preferred. Poisson can still be used however but I've found that you don't need a strong standard deviation value.
If the data is of good quality a deviation value of 2.2 works well. I'll drop down to 2 or 1.8 for mediocre. For a small stack of RGB, at times I'll drop down to 1.5 deviations. I rarely go lower than this.
Hope that helps.
Cheers
|