By stupid mistake I took 3 hours of RGB instead of SHO data of the California nebula. After noticing the mistake I gathered another 5 hours of SHO data.
Due to bortle 4 skies the RGB channels have a poor SNR, also the O channel is very faint.
Rather than just to discard the RGB data, how can I best integrate it into the SHO data?
a. Process RGB and SHO and merge
b. Merge each color channel (R+S, G+H, B+O) and then combine into image
c. Use combined RGB as Luminance and combine with SHO into LSHO
Any recommendation or best practices?
Arny
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You find PS works better for me to do that. You can try to process both SHO and RGB separated and then add the RGB as a color layer on top of SHO. Another option is to remove the stars of the SHO and use it as luminance and then process the imagen like a regular LRGB
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While 3 hours is overkill, you could use RGB for the star field and SHO for the nebula itself.
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Tom Boyd:
While 3 hours is overkill, you could use RGB for the star field and SHO for the nebula itself.
This right here.
I recently did this for the first time on my Soul Nebula image. 1hr of combined RGB, extract the starfield and insert into my 11hrs of SHO data. I think the results came out quite nice, going forward I'll be doing this for my NB images.
Here's my picture of SHO Soul Nebula with RGB stars:
https://www.astrobin.com/5jjgbe/ |
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Hello, I understand that since I am starting with a bortle 4, is it better to take RGB than SHO, for example with the 2600MM? I have had that doubt for a long time |
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Are you looking for natural colors or NB? The Narrow Band Color Mapper script in Pixinsight is a great tool to map color channels, normalize backgrounds, etc. If you use Pixinisight, here's more info from Adam block on YouTube: https://youtu.be/0XxB-sOFD0Q?si=NZaIuo1_w5yuUInx |
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I'm not looking for that exactly, I'm looking to learn how to take my lghts on a b4 since they say that it is better to do RGBH than for example HSO, that is my doubt
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Norman Tajudin:
Are you looking for natural colors or NB? The Narrow Band Color Mapper script in Pixinsight is a great tool to map color channels, normalize backgrounds, etc. If you use Pixinisight, here's more info from Adam block on YouTube: https://youtu.be/0XxB-sOFD0Q?si=NZaIuo1_w5yuUInx
Actually I would like to see natural colors but took narrowband.
Thanks for the hint, I will try this out!
Arny
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Arny:
Norman Tajudin:
Are you looking for natural colors or NB? The Narrow Band Color Mapper script in Pixinsight is a great tool to map color channels, normalize backgrounds, etc. If you use Pixinisight, here's more info from Adam block on YouTube: https://youtu.be/0XxB-sOFD0Q?si=NZaIuo1_w5yuUInx
Actually I would like to see natural colors but took narrowband.
Thanks for the hint, I will try this out!
Arny
Definitely give it a spin. Adam mentions a natural color adaptation of the Narrow Band data in his video. I've used it to combine RGB+HA. RGB+SHO, Narrow Band as RGB, etc. Love it. Makes it so easy to iterate and experiment!
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I have had success using the NBRBG script in PI. https://www.astrobin.com/kl3t0k/
I used the script to add NB detail to my RBG image.
I also see tha Adam Block has a new PI script https://www.youtube.com/watch?v=j14lPwcNeeo
As other have said, this is described as a way to potentially blend RGB and SHO images.
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Howard Richard:
I have had success using the NBRBG script in PI. https://www.astrobin.com/kl3t0k/
I used the script to add NB detail to my RBG image.
I also see tha Adam Block has a new PI script https://www.youtube.com/watch?v=j14lPwcNeeo
As other have said, this is described as a way to potentially blend RGB and SHO images.
Howard Richard:
I have had success using the NBRBG script in PI. https://www.astrobin.com/kl3t0k/
I used the script to add NB detail to my RBG image.
I also see tha Adam Block has a new PI script https://www.youtube.com/watch?v=j14lPwcNeeo
As other have said, this is described as a way to potentially blend RGB and SHO images.
what is the script? |
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In PixInsight > Scripts > Utilities > NBRGBCombination |
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There is also a script “Combine RGB and Narrowband” in the PI Toolbox
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