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Culling Images. What’s bad data vs good data?

Brett Joslin
in PixInsight
Hello

Im a fundamental user and looking to review videos that will help me understand what would be considered good vs bad data. I know you would start with blinking an image removing the very obvious ones that are bad. But as an example let’s say you have only part of an image that is good maybe a cloud passing through. In this case the cloud isn’t usable but the rest of the image is. I don’t know what’s usable and what’s not. I’m sure PixInsight will reject pixels but what should I throw away that can negatively impact the image quality in the end? 

Can you recommend specific videos to help answer the question? 

Thank you!

Comments

  • BlockHeadBlockHead
    Hi Brett,

    I don't have a video that directly illustrates all forms of "good" and "bad" data. 
    Satellites in your images are definitely NOT bad data.
    Neither are small tracking errors that are a small fraction of a set of data.
    In fact any issue that is a small fraction of a set of images to be stacked is usually OK to use if there is any aspect of that is worthwhile.

    Your example with clouds- I tend to through out frames like that because stars tend to get halos which will not reject easily with stacking. 

    It is a learned eye that you get with practice.
    If you want to do the "adam block" way... you would run the stacking (ImageIntegration) twice. One with the crappy data...and one without and look at the two stacked masters. (blink them)
    That will really show you whether you can still use the frames you are talking about.
    I tend to keep a lot of images that most people would throw away- but there is of course a limit.

    -the Blockhead
  • Brett Joslin
    Thanks Adam 
  • Brett Joslin
    Just a followup in case someone can find this post helpful. The video below answered my question. I am attaching a file if you want to see an example. I had slight few pixel tails, some image are worse than others. This image falls somewhere in the middle of severity.

    LDN 1 183 RGB (2024) : Examine Data



    Light Exsmple.jpg
    5496 x 3670 - 16M
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