[argyllcms] Re: negative primaries
- From: Graeme Gill <graeme@xxxxxxxxxxxxx>
- To: argyllcms@xxxxxxxxxxxxx
- Date: Fri, 11 Jun 2010 11:16:47 +1000
Gerhard Fuernkranz wrote:
Well, Graeme, it's actually not the camera which produces XYZ values
outside the visual gamut (including negative ones), but eventually it is
always the matrix. If the Luther condition is met, then there exists (in
the ideal case) indeed a single "correct" matrix which is entirely
determined by the camera, but if the Luther condition is not met, then
the choice of the matrix is is a trade-off between several objectives
and evils anyway, and it is no longer the camera only, which determines
the matrix. It would be for instance certainly possibly to constrain the
matrix in order to avoid that any RGB triples inside the camera's
spectrum locus map to XYZ numbers outside the visual gamut - then we
should never end up with imaginary XYZ values, even if the captured
scene contains the most saturated colors one can imagine (i.e.
monochromatic ones).
Hi Gerhard,
OK, let me be more precise:
Given a bunch of real cameras, I wonder how common it is
for the cameras spectrum locus to fall outside the standard
observer spectrum locus, when the matrix has been created by
minimizing the (say) sum of squared errors of a representatively
weighted basket of real world color spectra.
Given that such a weighted set of colors is likely to weight
highly saturated colors fairly lightly, I wouldn't expect
the accuracy of such colors to be as high as the more common
colors, and therefore their errors could well take them outside
the standard observer spectrum locus.
While it's certainly possible to change the matrix optimisation
objectives to minimize the camera spectrum locus area that
falls outside the standard observer locus, by definition
this will be at some cost to accuracy. The cost could be small
for a large improvement, but it will depending on the details.
Given that the spectral sensitivities of the camera sensors
and real world spectra is not available, I wonder what a suitable
criteria would be to add into the optimization goals ?
Would some weighting against the camera primaries falling outside
the standard observer spectrum locus be the best approach ?
What if the camera deliberately modifies the RGB colorspace
to be represented by imaginary primaries (to avoid
gamut limits) though ?
But the bottom line is that input devices have unavoidable
inaccuracies in their emulation of the standard observer,
and therefore all colors will have errors. Colors near the
standard observer spectrum locus with errors may well
fall outside the locus. These values still represent real world
colors, and so should not be arbitrarily clipped.
cheers,
Graeme.
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