Rick, do you have a link or some stats to back this up? 20% is a big amount. While I can see that mean with sigma rejection should be superior, I find the 20% value a little hard to fathom.
For instance in my example above, leaving out the bottom two values of 0 (obvious outliers) would result in a mean of 13876.125 - not much different at all from the median value.
-Cam
Quote:
Originally Posted by RickS
Cam: using a median combine instead of mean will give you a degree of implicit outlier rejection but it comes at a cost of approximately 20% less improvement in SNR (for larger sets of image - results are worse for small sets.) You'll almost certainly get a better overall result using an average combine with an explicit rejection algorithm.
Cheers,
Rick.
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