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Hi Kevin,
The key to colour in PI (and every alternative processing package) is getting it calibrated correctly while the data is linear. Did you use BackgroundNeutralization and ColorCalibration before stretching the data? I'd be inclined to use the default settings for CC which will use the stars in the image as a white reference.
If you're feeling a little braver, plate solve your image (ImageSolver script) and then use PhotometricColorCalibration instead of ColorCalibration. PCC will do a great job even if you don't have a good white reference available. This is especially useful if the FOV is full of nebulosity or dust.
Another useful technique to bring out colour after stretching is to use a clipped Lightness mask (ChannelExtraction, or the equivalent menu button, to get Lightness then HistogramTransformation to clip the blacks.) Apply the mask to the colour image and then use the Saturation curve in CurvesTransformation to boost the saturation. The mask applies the effect only to the brighter areas.
Cheers,
Rick.
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