Hello and welcome to PixInsight Forum.
The toool of choice to map narrowband images to RGB channels is PixelMath. For example, suppose we have three images with the following identifiers:
Ha
OIII
SIIand we want to combine them following the well-known Hubble palette. The PixelMath expressions would be as simple as:
SII
Ha
OIIIrespectively for the red, green and blue slots. Now suppose we want to render the narrowband data using a more 'natural' representation; for example:
SII as pure red
Ha as orange (a blend of red and green)
OIII as cyan (a blend of green and blue)
The following PixelMath expressions could be used:
0.8*SII + 0.2*Ha
0.2*Ha + 0.8*OIII
OIIIagain respectively for the R/K, G and B PixelMath expressions.
In the above expressions, note that the constant factors have been defined so that no pixel can have a value larger than one (0=black and 1=white) in order to prevent saturation. For example, the first expression combines an 80% of SII and a 20% of Ha in the red channel. If the SII image is relatively weak and Ha is not saturated, as often happens, one can improve the rendition significantly by altering the expressions to remove the saturation constraint. For example, the following palette has given very good results:
SII + 0.8*Ha
0.2*Ha + OIII
OIII
You can see an example
here. You'll have to vary the constants to adapt the rendition to your data, but this is the idea. Hope this helps.