colour.adaptation.chromatic_adaptation_Fairchild1990¶
-
colour.adaptation.
chromatic_adaptation_Fairchild1990
(XYZ_1, XYZ_n, XYZ_r, Y_n, discount_illuminant=False)[source]¶ Adapts given stimulus CIE XYZ_1 tristimulus values from test viewing conditions to reference viewing conditions using Fairchild (1990) chromatic adaptation model.
- Parameters
XYZ_1 (array_like) – CIE XYZ_1 tristimulus values of test sample / stimulus.
XYZ_n (array_like) – Test viewing condition CIE XYZ_n tristimulus values of whitepoint.
XYZ_r (array_like) – Reference viewing condition CIE XYZ_r tristimulus values of whitepoint.
Y_n (numeric or array_like) – Luminance \(Y_n\) of test adapting stimulus in \(cd/m^2\).
discount_illuminant (bool, optional) – Truth value indicating if the illuminant should be discounted.
- Returns
Adapted CIE XYZ_2 tristimulus values of stimulus.
- Return type
ndarray
Notes
Domain
Scale - Reference
Scale - 1
XYZ_1
[0, 100]
[0, 1]
XYZ_n
[0, 100]
[0, 1]
XYZ_r
[0, 100]
[0, 1]
Range
Scale - Reference
Scale - 1
XYZ_2
[0, 100]
[0, 1]
References
Examples
>>> XYZ_1 = np.array([19.53, 23.07, 24.97]) >>> XYZ_n = np.array([111.15, 100.00, 35.20]) >>> XYZ_r = np.array([94.81, 100.00, 107.30]) >>> Y_n = 200 >>> chromatic_adaptation_Fairchild1990(XYZ_1, XYZ_n, XYZ_r, Y_n) ... array([ 23.3252634..., 23.3245581..., 76.1159375...])