The Definitive Guide to WBPP: Separate RGB channels for OSC Data

This is the Definitive Guide to WBPP in Pixinsight.
This video explains the idea behind separating OSC data into individual (mono) RGB channels in order to register the colors and minimize color fringing and other aberrations.
This is from WBPP version 2.2- but the concept and application of this feature is the same for all current versions to-date.
Thanks to Jason Dain for providing the data which shows the benefit of the new separate OSC colors alignment and output.
Concerning the comparison of VNG versus Superpixel, members of AdamBlockStudios can see his extra section (which really isn't about the update).
Please watch the videos in the order they listed in the playlist:
• The Definitive Guide t...
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#PixInsight #WBPP #LocalNormalization #CMOS #FlatDarks #Biases #Calibration #Darks #Script #processing #Astrophotography

[@MartinJunius]

Thanks for the in-depth look at this new feature of WBPP. In fact this is what brought me into the WBPP fan group from a previous “all manual” approach, because it automates a lot of tedious steps otherwise. For comparison of star fringe colors I found it most useful to run the Autocolor script followed by a stark ArcshinhStretch which highlights the problems/improvements even better. The separated RGB processing is also better than splitting/aligning the channels of a traditionally integrated RGB master.

[@paulwilson8367]

Watching this, I can see that I pay a price when I fail to watch some of your videos. I have a RASA 8, I frequently see this color fringing on my images, and I wrote it off to a fact of life. I continued to use the "regular" method, so I deserve what I get. Next time I will try to do it the new way. Thanks Adam. (RASAs also suffer from unfortunate "tilt" issues and have a very demanding back focus range). I hope you will release a 2.5 guide that we can all benefit from

[@AdamBlock]

2.5? You mean in the future right? I haven't missed anything have I? lol

[@paulwilson8367]

@@AdamBlock yeah, I get software update numbers scrambled. 2.4.5. I was doing good to remember that it had a 5

[@AdamBlock]

@@paulwilson8367 Ok. These videos are a guide to 2.4.5 which is what you asked for.

[@aethyr1388]

great stuff! You explain this complicated topic very well. Have you ever tried to use local normalization during the RGB breakup?

[@AdamBlock]

I have not done this variation...but I think it should work. WBPP should treat the newly created R,G,B images as mono from that point.

[@danielmiller5984]

Thank you for this tutorial. I shoot with a modified T3i and have started using this seperation. But I do have a question. One of the things you do go over is using SuperPixil for Debayer method instead of VNC. If I use that method, will that degrade the image in the end? I seen the rest of your video still was using vnc.

[@AdamBlock]

The implementation of it has changed. In principle Superpixel should not degrade anything... *but* CFA drizzle (even 1x1) is the best way to handle this data. The superpixel method was really my way of trying to minimize the memory requirements. WIth Fast Integration..that is kinda taken care of.

[@danielmiller5984]

@@AdamBlock Thank you. I will go back to the CFA drizzel then. I will stay with the seperation of the R G B channel. I like the results better. Takes my WBPP forever to run, but I think it is worth it in the final result.

[@richardeastman7178]

Newbie new to pixInsight. Celestron 8" EDGE HD. Is there a specific sequence of videos you recommend? Lots of unfamiliar terminology in most recent OSC video. Thanks

[@AdamBlock]

Well..I would reccommend starting from the beginning of the playlist. Ultimately thiough this WBPP series is just a portion of PixInsight and the information you are seeking on astronomical image processing. The full answer is in the masterclasses I create on my site at AdamBlockStudios.com . FastTrack Training in particular is a great, and inexpensive, way to start.

[@julianmatthews3262]

Hi Adam, thank you for this video. I use a CMOS 294C camera and you mention SuperPixel for debayer method to extract to get better noise results and outliers and reduced file size rather than using VNG. However, if I set SuperPixel, the drizzle configuration in Post_Cal is greyed out. You have mentioned to drizzle for OSC at scale 1, so if you cannot drizzle if using SuperPixel which is better to use SP without drizzle or VNG with drizzle? Thank you

[@AdamBlock]

VNG with drizzle... the VNG (debayered files) are temporary.... the drizzle files are using the undebayered information and youCFA drizzle integrate the data which has no interpolation. So don't worry about super pixel now... just drizzle 1x1 for OSC.

[@jimmyroy8715]

hey adam i have a question for you why are you taking each file seperatly to combine them for each color instead of using your seperate r-g-b master light file that have been stacked ?

[@AdamBlock]

Because by separating them, for some applications, you can aligned the channels that you could not do with a single debayered master. It is option that solves some problems that I mention.

[@Sidecontrol1234]

I'm trying to understand what you have done here. When I use WBPP I export the 3 separate channels (stack and calibrated etc). When I then combine the 3 channels using channel Combination I'm still getting the bi colour in my stars in the corners? Do I need to do the image integration separate to WBPP?

[@AdamBlock]

If you are still seeing color fringing- then the issue isn't going to be resolved by better alignment. Likely you have more severe optical aberrations. Doing it "separate" from WBPP should not make a difference (if it does, you and I are not agreeing on the issue).

[@Sidecontrol1234]

@@AdamBlock Ok, then I guess it's the Redcat 51. Thanks for the reply!

[@raphaelhaist5218]

This doesnt apply to osc duo narrowband data does it? I tried it with some old l-extreme data and it had no noticeable effect for me but I did work great on normal rgb data

[@AdamBlock]

I am generally not commenting on NB data with OSC sensors.