with raw-identify -v i get:
Derived D65 multipliers: 2.172879 0.947545 1.527648
but i can also see:
Makernotes 'D65' WB multipliers: 654 302 488 302
why isnt the relative difference between the channels equal?
thanks
raw image decoder
with raw-identify -v i get:
Derived D65 multipliers: 2.172879 0.947545 1.527648
but i can also see:
Makernotes 'D65' WB multipliers: 654 302 488 302
why isnt the relative difference between the channels equal?
thanks
Derived D65 multipliers are
Derived D65 multipliers are calculated from daylight color profile, while makernotes multipliers are recorded by camera.
-- Alex Tutubalin @LibRaw LLC
So when you say daylight
So when you say daylight colour profile, its a preset that comes with libraw vs what the camera thinks it should be? is there any reason the derived values should be more correct than the makernote values?
Unless your scene is lit by
Unless your scene is lit by exact D65 (imaginary) light source, both values are 'not correct'
-- Alex Tutubalin @LibRaw LLC
sorry but that doesn't really
sorry but that doesn't really answer the question
Your question is 'is there
Your question is 'is there any reason the derived values should be more correct....'
My question is: 'more correct for WHAT?'
Real scene is lit by some real (daylight) light source, not (imaginary/synthetic) black body at 6500K.
Both settings are 'not correct' for real image/real scene.
-- Alex Tutubalin @LibRaw LLC
the question was a two-parter
the question was a two-parter.
first: "So when you say daylight colour profile, its a preset that comes with libraw vs what the camera thinks it should be?"
Second, if there is no way to correctly white balance to 6500k, then why do we even have these numbers to begin with?
There are other reasons for wanting to get a correct d6500 white balance than matching a physical lamp. For example if i have to work with raw files from several cameras: then if they could all reliably be set to a 6500k white balance, they would at least all match eachother regardless of the actual lamp temperature, saving one self the work of having to grade each camera individually.
Also look at the rawtoaces project. it is specifically made to convert raw files to aces colourspace which is calibrated around a 6000k (?) whitepoint. Unfortunately not all cameras have had their sensors analysed for spectral sensitivity.
LibRaw allows to set any
LibRaw allows to set any white balance, including the ones that comes from camera metadata (use imgdata.params.user_mul[] for that).
-- Alex Tutubalin @LibRaw LLC