Gerhard Fuernkranz wrote:
Do you have any idea, how one could determine an "optimal" small subset of my measurements for the regression (without need to try e.g. 10^1700 combinations)?
Couldn't you do a delta analyis ? See which samples have the least effect on the resulting parameters, and discard those.
It also tends to validate Gretag's approach, which (I have been given the impression) is a XYZ_fwa_comp = f(XYZ) / Lab_fwa_comp = f(Lab) type of approach.
I don't know for sure, but I think Gretag's FWA compensation is also only available in conjunction with *spectral* measurements, is it? This would IMO suggest that they rather use an approach like yours (or even use your method?).
Yes you are right, it does only work with spectral. I'm not sure what algorithm they currently use, as they had this feature prior to the publication of my algorithm (although not prior to my releasing it in Argyll).
Graeme Gill.
