I understand how lucky imaging gets the results it gets, but I’m wondering specifically how the 10% of frames are chosen.
They’re not picked based on clarity/blur, because the problem is one of distorted images not blurry images, causing issues when averaging the stack.
Searching online gives me lots of answers about how lucky imaging produces clearer images, but not how the lucky frames are chosen.
Anyone know how lucky frames get chosen?
Looking at this: https://skyandtelescope.org/astronomy-blogs/imaging-foundations-richard-wright/lucky-imaging/
Reading between the lines, my bet is that it is looking for photos with less atmospheric blurring. Since it sets reference points, it can measure the delta from a good shot, add the values to detainee how close to ideal a particular photo is, then choose the overall “luckiest” photos and stack them.
I read that article, and it’s very good! But it didn’t explain how detect atmospheric blurring, since it’s not actually blurring, it’s distortion. To quote that article
Assuming all images are compared to a reference shot as you suggested, how is the reference shot selected?
I’ve actually got my own ideas about how it could be done, but this is coming from a background in computer science, not from astronomy, so I don’t trust my solution.
Yeah, I’m guessing your ideas and mine are going to be similar then; wish I could add more!