Every Way Of Noise Reduction In PixInsight

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  • Опубліковано 7 лип 2024
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  • Наука та технологія

КОМЕНТАРІ • 8

  • @astrotimetraveller4622
    @astrotimetraveller4622 2 роки тому

    Tim, very helpful video, I use all of these but always struggle with TGVdenoise, seeing someone else’s settings is always very useful, kind regards Ian

    • @lupix4752
      @lupix4752 2 роки тому +1

      Edge protection is the most vital setting when it comes to TGV. I always experiment with the value on a small preview to make sure that it's not too aggressive with the smaller, fainter stars. I don't use automatic convergence because if you use it on a preview, you'll have different results to the final image as it works on an image by image basis. I like to also keep my iterations on the higher side as TGV can sometimes produce some artifacting, so upping will give a smoother, more polished result. I tend to keep mine on 750-1000, but it depends on how powerful your PC is. Jon Rista has a very good guide with TGV

  • @billlong7146
    @billlong7146 2 роки тому +2

    The game changer in beta is NoiseXTerminator. AI based noise reduction that works amazingly well and doesn't require masks or removing stars, or any other gymnastics.

  • @mrrichard6689
    @mrrichard6689 2 роки тому +4

    Can you post the link to Shawn’s mmt icon?

    • @qx3V45p
      @qx3V45p 2 роки тому

      ua-cam.com/video/P_2WgPNmh6g/v-deo.html

    • @MrStormbob
      @MrStormbob Рік тому

      ua-cam.com/users/redirect?event=video_description&redir_token=QUFFLUhqa3BfSlprSXhhS044eGFzUl9BNFdXaFFHRVRSUXxBQ3Jtc0tudTk2VXBHNmtXS0hlUmJqcjR6cEx3ZlNCeFlYRVd0anQ5UkpfUGtFLXBnSXN3Slh2TWh2akVtTzZlaHlvUEtER25kU091dkk0X0pjcC1RRzZ5Yk1rU3JaTTFVRzlIYVZGLVhHeUlTMW5OYmVObVR5SQ&q=https%3A%2F%2Famzn.to%2F3CSS7V3&v=P_2WgPNmh6g

  • @mikeh9180
    @mikeh9180 2 роки тому

    Hey Tim, do you use the script ez denoise. It works very well

    • @ChrisTurchin
      @ChrisTurchin 2 роки тому

      Been using ez denoise and others for a while myself, but this video really helped me understand how the different denoise actions work. Thanks Tim!