CFA--color filter array
B to B--- blue to blue
R to R----red to red
POCS--"Projection onto convex set theory-"--see below excerpt from a
paper
"Another effective approach of interpolating missing data in
chrominance channels is to borrow wavelet theory. Based on the
observation that edges across color channels are highly correlated, it
is possible to obtain a good estimation of high-frequency band
coefficients in chrominance from their luminance counterpart by simple
maxrule (13) or mean-corrected synthesis.(8) More systematic approach
is based on projection-onto-convex-set (POCS)theory.(21) By alternating
the projection onto observation and detail constraint sets, chrominance
channels canbe efficiently reconstructed after few iterations. Since
POCS-based demosaicing achieves good performance at the price of
moderate computational cost, it has been widely used as the benchmark
scheme for later works."
Here is reference 21: FWIW
http://imagenoise.googlecode.com/svn-history/r56/trunk/demosaick/Demosaicing/Demosaicing.pdf
Right now if ones uses a converter that avoids the watercolor effect
(this effect can be seen in that pinkish fabric from the standard
images on imaging resource) ---
the trade-off is that you can get these tiny, red-green speckle
artifacts in very high contrast areas, particularly with specular
highlights.
Relatively subtle issues except at near 100% viewing though might
bother some especially landscape photogs that like to print large.
Point is that there should be a computational way to mitigate if not
eliminate the issues. DXO (from a company rep at a show) had looked at
the issue and for now decided ( deduced from their forum) waaaay too
much work to make it a commercially viable project right now to add to
DXO optics pro.
(also might take 5min to process a raw file)
Am in shopping mode and seemed to get distracted (Indeed totally lost)
down some side streets.
ARU, Mike (abbeviations are us)
--
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