adapt | R Documentation |
Adapt XYZ, xyY, Lab, or Luv from a source viewing enviroment with a given illuminant, to a target viewing environment with a different illuminant.
## S3 method for class 'CAT'
adaptXYZ( x, XYZ.src )
## S3 method for class 'CAT'
adaptxyY( x, xyY.src )
## S3 method for class 'CAT'
adaptLab( x, Lab.src )
## S3 method for class 'CAT'
adaptLuv( x, Luv.src )
x |
a CAT object as returned from |
XYZ.src |
an Nx3 matrix, or a vector that can be converted to such a matrix, by rows. Each row has an XYZ in the source viewing environment. |
xyY.src |
an Nx3 matrix, or a vector that can be converted to such a matrix, by rows. Each row has an xyY in the source viewing environment. |
Lab.src |
an Nx3 matrix, or a vector that can be converted to such a matrix, by rows. Each row has an Lab in the source viewing environment. |
Luv.src |
an Nx3 matrix, or a vector that can be converted to such a matrix, by rows. Each row has an Luv in the source viewing environment. |
adaptXYZ()
is the most fundamental of the group;
it simply multiplies each of the input XYZs by x$M
.
adaptxyY()
converts xyY.src to XYZ,
calls adaptXYZ()
,
and then converts back to xyY.tgt.
And it does an additional check:
if the xy of xyY.src is equal to the xy of x$source.xyY
,
then the xy of the returned xyY.tgt is set to be the xy of x$target.xyY
.
adaptLab()
and adaptLuv()
work in a similar way.
When Lab.src
is transformed to XYZ, the whitepoint is set to x$source.XYZ
.
And when the adapted XYZ is transformed to adapted Lab, the whitepoint is set to target.XYZ
.
adaptXYZ()
returns an Nx3 matrix with adapted XYZ.
Each row has an XYZ in the target viewing environment.
adaptxyY()
returns an Nx3 matrix with adapted xyY.
Each row has an xyY in the target viewing environment.
adaptLab()
and adaptLuv()
return adapted Lab and Luv respectively.
Hunt, R. W. G. The Reproduction of Colour. 6th Edition. John Wiley & Sons. 2004.
International Color Consortium. ICC.1:2001-04. File Format for Color Profiles. 2001.
Lindbloom, Bruce. Chromatic Adaptation. http://brucelindbloom.com/Eqn_ChromAdapt.html
Wikipedia. CIECAM02. https://en.wikipedia.org/wiki/CIECAM02
CAT()
,
standardXYZ()
# try the Bradford method
bCAT = CAT( 'D50', 'D65', method='bradford' )
adaptXYZ( bCAT, c(1,1,0.5) )
## X Y Z
## [1,] 0.9641191 0.9921559 0.6567701
adaptLab( bCAT, c(50,20,-10) )
## L a b
## [1,] 49.97396 20.84287 -10.19661 # as expected, there is a change
adaptLab( bCAT, c(40,0,0) )
## L a b
## [1,] 40 0 0 # but adaptLab() always preserves neutrals
adaptLuv( bCAT, c(40,0,0) )
## L u v
## [1,] 40 0 0 # and adaptLuv() also preserves neutrals
# try the scaling method - now XYZ are scaled independently
sCAT = CAT( 'D50', 'D65', method='scaling' )
adaptLab( sCAT, c(50,20,-10) )
## L a b
## [1,] 50 20 -10 with sCAT, adaptLab() is now the identity for *all* colors
adaptLuv( sCAT, c(50,-20,10) )
## L u v
## [1,] 50 -18.32244 11.29946 but adaptLuv() is NOT the identity for all colors
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