Thanks for that!
I had a look at the data and the big problem that I can see is that the data has been pre-color balanced, causing noise in the red channel to spike. This in turn greatly increases luminance noise, doing the image no favors.
I had no problem getting rid of the redness however (are you sure you applied the color module as the last step while Tracking was still on?) and was able to achieve a color balance that is extremely similar to all other images of M101 that I've processed (one of the cool things about the Color Constancy algorithm).
See below (Noise reduction not applied on purpose so color can be seen).
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- M101ST.jpg (241.19 KiB) Viewed 6212 times
Workflow up until that point was something like this;
--- Auto Develop
To see what we got.
We can see oversampled data, light pollution (that has been color balanced!
), some dead pixels.
--- Crop
For better framing
Parameter [X1] set to [848 pixels]
Parameter [Y1] set to [313 pixels]
Parameter [X2] set to [2973 pixels (-1337)]
Parameter [Y2] set to [1952 pixels (-916)]
--- Bin
Parameter [Scale] set to [(scale/noise reduction 50.00%)/(400.00%)/(+2.00 bits)]
--- Wipe
Used lassoo tool to mask out M101.
Parameter [Dark Anomaly Filter] set to [5 pixels]
--- Auto Develop
ROI over M101.
Parameter [Ignore Fine Detail <] set to [4.8 pixels]
Parameter [Outside ROI Influence] set to [1 %]
The latter two parameters help 1. to ignore the noise grain, 2. reduced the optimisation of the stretch for anything outside the ROI
--- Deconvolution
Auto generated suitable mask (need to click button).
Parameter [Radius] set to [2.4 pixels]
--- HDR
'Tame preset' to reduced core brightness.
--- Life
Isolate preset with full mask set.
--- Color
Things to look for; a yellow core (older stars), blue outer arms (younger stars), speckles of purple/pink (HII knots), good even distribution of all temperatures for all the stars in the field.
Parameter [Cap Green] set to [To Yellow]
Parameter [Dark Saturation] set to [3.60]
Parameter [Bright Saturation] set to [Full]
Parameter [Saturation Amount] set to [292 %]
Parameter [Blue Bias Reduce] set to [1.02]
Parameter [Green Bias Reduce] set to [1.26]
Parameter [Red Bias Reduce] set to [1.93]
Once again in the final result, we can see that color artifacts were introduced into the core of some brighter stars by the pre-white balancing (and thus clipping of channels). The Color constancy algorithm recovers any color that it can and *will* show color where it detects it.