Originally posted by eurostar A 63 megapixel sensor, by 4x4 binning, would allow for a 15 MP sensor without interpolation of colors. I would like it.
The colors must always be interpolated. If you take the R, G, and B subimages from a raw and overlay them to create an image of clear colors and half resolution, it looks awful. Tried it.
Originally posted by gazonk I also wonder if it would make sense to make bayer filters with more than three colors in order to better capture "difficult" colors like spectral violet?
Doesn't make sense.
The best possible color sensor works with 3 color filters each replicating one of the three human eye's color sensitivities as close as possible. Might work for bee eyes though
Originally posted by Winder The 28MP Samsung should have close to the same "pixel" size as the 16MP Sony CMOS.
That difference is egalized by microlens technology. The net difference will be marginal.
However, BSI diodes have a better angular response curve, even with microlenses. This could help solve the current problems with the corners of wide angle lenses on high resolution mirrorless cameras such like the A7r.
Originally posted by Winder The APS-C organic sensors they have developed have a 4 stop advantage
There is no such thing as a 4 stop advantage.
Quantum efficiency (QE) of current sensors already is at 50%, only 1 stop left. Another stop may come by replacing color filters by another technology to register photon wavelength. And that's it.
There are false claims from companies trying to attract venture and stock capital. They are typically based on creation of many electrons per photon. But this doesn't help if you already measure every electron created. QE is the conversion rate of photons to electrons.
Fuji uses this definition:
Quote: The sensitivity of image sensors refers to the conversion ratio of light into electric signals
But without increasing the percentage of photons converted at all, it won't change the image noise. They're cheating and for a reason ...
Last edited by falconeye; 09-26-2014 at 09:07 AM.