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A big thanks to PhotoGav who posted some simple to follow instructions on how to use the stand-a-lone software earlier in his M27 thread.
I'll post again, but add that any file names must NOT include spaces. You can instead use a '_'.
If (as I do do), you embed your RGB files with a colour profile upon saving, that appears to be fine.
How to get the standalone Starnet version to work on the Mac
1. Download the latest version of Starnet for Mac OS from here:
2. Unzip the folder and place it on your Desktop
3. Save the image that you want to make starless as a 16 bit mono or RGB .tif file
*****DO NOT use spaces in file name, instead use _
4. Place the file in the Starnet folder on your desktop
5. Open Terminal and navigate to the Starnet folder, copy this command:
cd ~/Desktop/StarNet_MacOS - into Terminal and hitting Enter
6. Open in Text Editor either the file:
depending on whether you are working with a mono or RGB file and edit the filenames in there to be the filename of the file that you want to make starless
Save the txt file above in part 6, then....
7. Drag either 'run_mono_starnet.sh' or 'run_rgb_starnet.sh' onto the Terminal window and you should see the path of the the file appear
8. Make sure that Terminal is the uppermost window and hit enter - Program will run (this can take a while!)
9. When it's finished doing its magic, go to the Starnet folder, open up the _s version of your file and be amazed at the results!
I am (amazed), thanks again Gav for posting!
Some examples from playing around late this afternoon... the starless colour and mono images straight out of StarNet, no extra processing.
I still prefer my images with an embedded star field, but this should be great fun and be rather useful whilst processing...
The Ha data
I recently upgraded to a purpose made astro-camera (Atik Horizon Color). The learning curve has definitely been noticeable, but I cant figure a couple things out. For some reason the pictures are grey scale when using N.I.N.A. I have tried different binning and formats, but the image is always black and white.
If I use the ATIK software (Infinity,Dusk) there is an option for 'Color Binning', and that seems to have fixed it for those programs, but N.I.N.A doesn't seem to have that option (you can not select anything for binning, or select 1x1, 2x2 ect.). But what makes it weirder is that the preview is always color using N.I.N.A. I used a pinhole lens cover to take pictures of my computer screen and it always shows up as color images. However, if I take that exact image file that previews in color and move it to pixinsight, it is grey-scale.
Is this a binning thing, file format problem? At this point I am just confused, if the preview of the image is color shouldn't the image data be color as well?
So far all the problems I have had with this camera have just been simple things that were new to me, but this one is really throwing me for a loop. Thanks for any help.
I've attached a couple images. The first you can see the NINA preview is color, as well with the couple other I took in the bottom right. And the other in a photo of trying to color saturate the stretched image in Pixinsight, and it says that it cannot saturate a grey-scale image. I have tried this with Tif, Fits, and various binning types.
I scrapped all the Oiii and Sii data I previously took during a full moon (about 15 hours worth) and retook it all when the moon was a bit smaller at 76%. Ha was taken during 98% and 67% moon. All the lights were taken on the following nights: 12th, 19th and 20th September 2019.
Integration times, all in 600s subs unbinned:
Ha = 28.33 hours
Oiii= = 5.67 hours
Sii = 5.67 hours
The Ha data is really nice, and unsurprisingly the Oiii and Sii is not as strong (or nice).
I'm missing that (vital) step in my processing routine of getting the Sii and Oiii properly stretched to match the Ha, before combining. I dont really know how to deal with the weaker data properly. Any pointers would be appreciated.
What I do currently:
All the data is loaded into APP into separate channels/sessions.
The data is stacked and registered against the best Ha sub
This produces individual stacks of Ha, Sii and Oiii that are all registered
Each channel is processed with DPP in APP and then saved as a 16bit TIFF
Each is opened in PS
Stars removed with AA and any remnants removed and tidied up
I then open a blank RGB document in PS
I paste Ha into Green, Sii into Red and Oiii into Blue
Adjust the selective colour settings to get 'Hubble palette'
Adjust levels, curves, saturation until looks ok
All the Ha Sii Oiii data is then combined together in a single 'super' stack in APP using quality weighted algorithm to create a 'luminance'
That luminance layer is adjusted using levels, curves, and NC tools such as local contrast enhancement and deep space noise reduction (using masks to apply as required)
The luminance is pasted onto the above colour layer, and incrementally added using gaussian blur
Cropped and saved.
Here it is anyway I haven't intended on any more exposure time for this one, but will consider it, if the expert opinion dictates otherwise!
Taken on Sunday evening with a 98% Moon.
Comprising of 12 x 600s subs using an ED80 with a 0.85x FF, an Atik 383L+ and a 7nm Optolong Filter.
Stacked in DSS, and processed in PS.
Full frame and cropped, mono and h-alpha colour using NC Actions.
Thanks for looking