Non-linearly stretching an image's RGB components causes its hue and saturation to be similarly stretched and squashed. This is often observable as "washing out" of colouring in the highlights.
Traditionally, image processing software for astrohptography has struggled with this, resorting to kludges like "special" stretching functions (e.g. ArcSinH) or Color enhancement extensions to the DDP algorithm (Okano, 1997) that only attempt to minimize the problem, while still introducing color shifts
While other software continues to struggle with color retention, StarTools Tracking feature allows the Color module to go back in time and completely reconstruct the RGB ratios as recorded, regardless of how the image was stretched.
This is one of the major reasons why running the Color module is preferably run as one of the last steps in your processing flow; it is able to completely negate the effect of any stretching - whether global or local - may have had on the hue and saturation of the image.
Because of this, the digital development color treatment extensions as proposed by Okano (1997) has not been incorporated in the FilmDev module. The two aspects - colour and luminance - of your image are neatly separated thanks to StarTools' signal evolution Tracking engine.
Thank you StarTools for turning my average photos into amazing ones.
Clearing the mask (all pixels off/not green in the mask editor) is generally recommended for non-stellar objects, including lunar, planetary or solar data.
In StarTools, this important distinction is abstracted away, thanks to the signal evolution Tracking engine.
The Synth module generates physically correct diffraction and diffusion of point lights (such as stars) in your image, based on a virtual telescope model.
The magnitude of the noise grain is subsequently recovered, modeled and shaped for use as quantization error diffusion in the final denoised image.
You can convert everything you see to a format you find convenient. Give it a try!