As 1DegreeN points out, CFA drizzle
[1] is completely integrated in the preprocessing workflow in current versions of PixInsight, from calibration to integration.
To be more precise, if you want to achieve the best possible result starting with mosaiced raw data (be it DSLR or OSC raw data), and the amount of data available is not marginal, then CFA drizzle is not optional. You must perform it
always. The Debayer tool only serves as a previous step for image registration (StarAlignment) and weighing / outlier rejection (ImageIntegration), but de-Bayered frames are just temporary working images. If your data justifies it (both because it is subsampled and because you have enough frames), you can perform drizzle with a scale of 2. Otherwise select a scale of 1 to perform a 'regular' CFA drizzle.
And to be even more precise, in many cases, if not in most of them, drizzle integration is the best option also for non-mosaiced data, that is, for monochrome CCD/CMOS raw data. DrizzleIntegration with a scale of 1 may achieve better results than ImageIntegration because drizzle does not apply pixel interpolation. The final SNR improvement is normally smaller with drizzle, but the total absence of interpolation aliasing artifacts is a wonderful compensation. When there is enough data, I would consider using drizzle x1 on a regular basis. Food for thought
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[1] AKA Bayer drizzle, although this term is incorrect strictly, since you can perform drizzle to fill the holes of any CFA pattern, such as X-Trans for example, which PixInsight fully supports.