But debayering algorithms are a bit more complicated than simply extracting half the pixels for green and a quarter for red and blue, then uprezzing each channel. For each filtered photosite, there can be some intelligent guesses as to the information for the other two colors.
So as a general rule, you could say that the final measurable resolution of the debayered image is roughly 3/4 of the original. However, there are lots of other factors that come into play that affect actual resolution and perception of sharpness. I certainly agree that some 1080P images from 3-CCD cameras can be quite sharp-looking. But they can also suffer from aliasing artifacts and some prism-block artifacts. Plus you are limited I think to f/1.6 or so as a maximum lens aperture for a prism-block camera due some sort of halation or flaring / veiling problem (I believe.) And you're limited to 2/3" sensor sizes.
I see it less as one approach being better than another, just they had different looks, just as 3-strip Technicolor looked different than Eastmancolor.
Same with DSLR's. No digital system out there gives equivalent measured resolution to their effective sensor resolution. If they did, the aliasing would be terrible. Many, perhaps even most, RGB CMOS sensors use a Bayer pattern and are subject to the same sort of resolution degradation of about 18-20% over effective pixel resolution that we see with the RED One.
The part about it recording a 9.44 mp / 4K image that's actually 7.36 mp / 3.3K resolution just 'wooshed' so far over my head I couldn't even see it. :)
Got a link to a Wikipedia article or something?
RED looks better. :-)
Using a 4K to 6K sensor over a 1920 to 2K sensor has more to do with reducing Bayer and Aliasing artifacts than with "resolution". In a Digital Movie camera you need some kind of low pass filter, optical like a OLPF or digital/software to reduce aliasing which shows up on edges when things or the camera moves.
Using a 4K Bayer sensor has some edge over three 1920 sensors since the OLPF and software used can blur the aliasing better with the smaller pixels. In fact if you make the pixels small enough you can get sharper images after you downsize since the OLPF does not need to be so heavy. (Although you need some softness for any digital image even RGB to reduce aliasing.)
In the end you will downsize the 4K images to 1920 or 2K for projection, but you can end up with better results than if you start at that resolution because of the interaction between the lens and the sensor pixel size.
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