Can Siril Fix Bad Stars in a Non-Linear Image so you can Save the Data?
Вставка
- Опубліковано 20 вер 2023
- I was asked by my friend Matt if there was a way to fix stars in data that either have donuts or elongation in the corners. I asked Matt to send me some data to look at and I will show you the files he sent and the one I picked to work on. The images were captured from a Live Stack and saved as 8-bit TIF files. Once Matt started to process the data he converted them into 16-bit files. That is what he sent me.
As you will see, Siril can easily handle the out-of-shape stars and save his data. This process shown isn't perfect and there are still some other issues with the data. But the stars are now much better and I think he will approve of the fixes to the stars. Hope this video can help others who have non-linear data with similar problems so you too can fix your stars and save your data... - Наука та технологія
Great information!!
I'm going to apply this on my next imaging session.
Thanks so much!!👍🏾👍🏾
Amazing how simple it looks like. I am going to apply it on one picture, many thanks for your great job.
Take your time and learn the tools and what they and you like... Have fun!
Nice one Jeff I'll definitely check this out next image I process as I do have some tilt with my images using the RASA, thanks for the upload.
This workflow is for non-linear images only. I'll be making another video that will show my linear workflow for fixing stars with Siril... Stay tuned.
Great walk through! I thought asinh is pronounced "arc-sign" its a trigonometric function. The H is for hyperbolic, but in this context most people don't mention it.
Math wasn't one of my better subject in school as you could tell... ;-) I never would have gotten that from the spelling alone. Glad you enjoyed the video.
asinh = latin: arcus sinus hyperbolicus - pronouncing acronyms like a real word sounds often ... funny :)
Definitely will watch this one again and take some blow by blow notes. Thanks!
Remember, this video is for non-linear images. If you have linear data. Watch this video: ua-cam.com/video/ecnALupPH_A/v-deo.html
To counteract walking noise, you should dither the frames as you capture them, at least that's what I do; then you can run drizzle and the walking noise is gone.
Thanks, Tim I do dither every 5ish minutes or so. I don't like to do it much more than that as I only shoot any target for 90 minutes. For the image used in this video. It was supplied by a friend. It was a Live Stack made in Mallincamsky and that program can't dither. He does a lot of outreach and will save the final stack to an image he can start working on. The walking noise unfortunately is one of the side effects of the way he captures the data... I used this image as the stars were very bad and it worked well for this video.
It can’t be tilt as the elongation is in opposite directions, both corners pointing towards the middle, it would go the same way in the direction of the tilt, if it was tilt….
But good instructional video….👍🏻
Astro_Shed, I get collimation and tilt mixed every now and then... With Matt's RASA 8. He has a stuck collimation screw and I'm pretty sure that would be the culprit...
@@jeffrh it was the first image you showed in the video I was referring to, I should have said, it looked very much like a backspace issue from a flattener…
@@Astro_Shed That image was made with his C8 and a Starzonia reducer. I think the backfocus was off on that image which would give those stars pointing towards the center... Just a guess
@@jeffrh Also, You can clearly see that image is out off focus - black holes inside the stars.
@@adampedzimaz9164 Yes, I agree... only on one side are they like that... The right side. Something in the optical train is off to account for something like that.