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?

  • PeriodicallyPedantic@lemmy.caOPEnglish
    3·
    1 year ago

    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

    even if the sharpest image is very clear, it may still be distorted in varying degrees around the frame So you can’t just score the frames by sharpness.

    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.