Backstory: I stack with APP or DSS and then import into Pi for all processing, and then dump into Photoshop for finalizing and distribution.
Story: Pixinsight just added the NSG (I'm using that from now on) script recently, and in some testing on my newest datasets it absolutely works wonders. Re-stacked the data and they required no LPR in APP or DBE in Pi - they were clean and ready for processing.
Fact: I drizzle my data during integration. New-ish OTA's pixel scale is 1.02 and many of my test images had blocky stars, so one day I turned on Drizzle in DSS/APP and that issue went away and the image was noticeably better. In order to test if I was fooling myself, I walked away for 24 hours and came back to the data and it was apparent side-by-side the drizzled stack was better.
Issue: NSG does not support Drizzle, and from the Pi forum posts it'll probably be a while before it is considered.
Question: Is there any normalization technique in APP or DSS that does a similar thing to NSG only that I can still Drizzle 2x? I have tried looking around prior to posting but there does not seem to be any clear technique.