Keen to hear how you get on! I used Lightroom to process the 48mp dng files, with reasonable results. I was still seeing some abberations around white high contrast areas as has been noted on the 48mp jpg files. Maybe better demosaicing algorithms could do a better job here. I've only dabbled a little with the 48mp mode and not spent a lot of time trying different things.
That's what the compute intensive demosaicing does... Analyzes the content, uses dynamic interpolation in different areas to reduce those sorts of artifacts. Check out this
comparison at Adobe:
Look carefully at the difference all over the picture, not just those blatant red lights in the middle. All sorts of detail – resolution – is recovered.
Setting aside the more exotic bleeding-edge stuff like AI demosaicing, just using something like Lightroom, Darktable, or another RAW capable apps will do a more sophisticated job than the simple nearest-neighbor averaging.
Despite what some say, the Mini3P has a true 48MP sensor, with 48M photodiode sites that each have a color filter over them and capture a real value for that color at that location.
Because of the quad-bayer filter pattern, recovering the missing channels at each site is harder than with a traditional 48MP Bayer pattern. As such, errors are larger, creating more visible artifacts and loss of resolution for simple demosaicing, which is all the Mini3P is capable of on-board producing finished jpgs.
The issue is not the sensor. It's the data
