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That's precisely my point. You need to use a debayering to infer the incoming color. But a RAW converter on a computer can (and I hope does) do the same thing. It's an interesting problem, but the results speak for themselves!
I think whatever they do any raw converter could do, in theory! Basically they provide Monochrome2DNG in camera, which is nice for sure, but less flexible if you don't like their processing.
Well, reading Matt's post and thinking further I think my explanation was too simple and probably incorrect. (Sorry @Godfrey ) Take for instance a photocell that's behind a blue filter. To translate that to a grey value representing the total amount of light falling on it it doesn't see yellow, so the signal needs to be lower with lower amounts of yellow in the light and higher with higher amounts of yellow in the light, and since yellow can't pass the blue filter the only way you can do that is by "guessing" it from the neigbouring red and green filtered photocells. Obviously we don't know if they do a complete debayer and then convert to monochrom or if they have figured out a smarter way to do it.
Yeah, there's a couple interesting approaches I can think of. You might be able to do it based on frequency even without debayering...The truly insidious part of the stuff is that now I've been thinking about it all day and coming up with interesting tricks and schemes to implement it...
G
This is what I wonder about. How can you do a complete debayer with a debayer filter in place?Obviously computer generation of some sorts. Its the 'some sorts' that bothers me.
It's more a matter of careful calculation of brightness values based on what has been captured and the known characteristics of sensor and Bayer mosaic than "computer generation". Unless you feel that any kind of computed value is "computer generated" whatever.... Well, even an M monochrome camera's recorded data has to be computed into a rendered grayscale image, and the same for any RGB image with any digital sensor technology.
The sensor in every camera is essentially a monochrome sensor with colour being derived through the luminance values after passing through the filter array, be it bayer, or x-trans or whatever. If the effect of the bayer array can be calculated to produce a colour image based on the quantifiable effects of the RGB filters in the array then it stands to reason that a monochrome image can just as easily be computed based on those same quantifiable effects.
Sadly haven’t compared them… and recently sold my M10M. Given the higher resolution of the M10M I am not sure how beneficial a direct comparison would be other than to compare spectral response and contrast perhaps.
