2023-03-15: APP 2.0.0-beta14 has been released !
IMPROVED FRAME LIST, sorting on column header click and you can move the columns now which will be preserved between restarts.
We are very close now to releasing APP 2.0.0 stable with a complete printable manual...
Astro Pixel Processor Windows 64-bit
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Hi,
I'm hoping for some help identifying what I may be doing wrong with calibration.
I use an ASI533 CMOS camera, have a Master Flat calibrated by Master Dark Flat, have a Master Dark and BPM.
When I view a linear light frame with BG neutralized, all looks OK colour balance wise, but when I choose the calibrate view, the image takes on a red cast.
Taking each master out of the equation and accepting the warnings, it seems it's using the Master Dark that introduces this red cast.
While removed in post processing previously, I've just used my L-Enhance filter and this time it basically shifts the entire image to fully red when calibrated. This is in the preview linear Vs calibrated view and in the final stacked image.
The Masters all look OK, so I'm wondering if anyone can help?
Here is a link to Master Dark, Master Flat, BPM and one light frame (it's not great!).
https://drive.google.com/drive/folders/1ZAuM3cdxSHh3TlskSDpmGwsli-HpR_cz?usp=sharing
Example:
Thanks in advance
Lee
Just for me; the right red frame looks correct to me, why do you think it's not?
Just for me; the right red frame looks correct to me, why do you think it's not?
Hi Vincent,
Good question and it could be my misunderstanding on OSC calibration. I was surprised at the change in colour balance when I'm just calibrating files. With the background neutralized, when viewing the light frame or stacked image, I hadn't expected such a shift in colour.
Perhaps the question I should be asking is why does the image (this one or my normal broadband OSC images) go much more red following calibration? What in the calibration files makes this happen?
Thanks in advance
Lee
I'm not 100% sure what happens in the algorithms. But I think it has to do with proper noise calibration and therefore getting better background readings. It will also neutralize the background in the preview, which influences color a lot when it removes possible gradients.
I'm not 100% sure what happens in the algorithms. But I think it has to do with proper noise calibration and therefore getting better background readings. It will also neutralize the background in the preview, which influences color a lot when it removes possible gradients.
OK, thanks Vincent, appreciate the replies.
