Once you have achieved a color balance you are happy with, the StarTools Color module offers a great number of ways to change the presentation of your colours.
The parameter with the biggest impact is the 'Style' parameter. StarTools is renowned for its Color Constancy feature, rendering colours in objects regardless of how the luminance data was stretched, the reasoning being that colours in outer space don't magically change depending on how we stretch our image. Other software sadly lets the user stretch the colour information along with the luminance information, warping, distorting and destroying hue and saturation in the process. The 'Scientific (Color Constancy)' setting for Style undoes these distortions using Tracking information, arriving at the colours as recorded.
To emulate the way other software renders colours, two other settings are available for the 'Style' parameter. These settings are "Artistic, Detail Aware" and "Artistic, Not Detail Aware". The former still uses some Tracking information to better recover colours in areas whose dynamic range was optimised locally, while the latter does not compensate for any distortions whatsoever.
The 'LRGB Method Emulation' parameter allows you to emulate a number of colour compositing methods that have been invented over the years. Even if you acquired data with an OSC or DSLR, you will still be able to use these compositing methods; the Color module will generate synthetic luminance from your RGB on the fly and re-composite the image in your desired compositing style.
The difference in colouring can be subtle or more pronounced. Much depends on the data and the method chosen.
Note that the LRGB Emulation Method feature is only available when Tracking is engaged.
The 'Saturation' parameter allows colours to be rendered more, or less vividly, whereby the 'Bright Saturation' parameter and 'Dark Saturation' parameter control how much colour and saturation is introduced in the highlights and shadows respectively. It is important to note that introducing colour in the shadows may exacerbate colour noise, though Tracking will make sure any such noise exacerbations are recorded and dealt with during the final denoising stage.
The 'Cap Green' parameter, finally, removes spurious green pixels if needed, reasoning that green dominant colours in outer space are rare and must therefore be caused by noise. Use of this feature should be considered a last resort if colour balancing does not yield adequate results and the green noise is severe. The final denoising stage should, thanks to Tracking data mining, pin pointed the green channel noise already and should be able to adequately mitigate it.
The workflow details the usual data prep, bias/gradient removal, stretching, deconvolution, color calibration and noise reduction.
To apply the new colour balance to the whole image, launch the Mask editor once more and click Clear, then click Invert to select the whole image.
Please refer to the video description below the video for the source data and other helpful links.
Worry not; subsequent processing in StarTools will remove the color bias, while restoring and bringing out detail.
Once a satisfactory colour balance is achieved you should, of course, feel free to switch to any alternative style of colour rendering.
You can convert everything you see to a format you find convenient. Give it a try!