colour.adaptation.chromatic_adaptation_Fairchild1990

colour.adaptation.chromatic_adaptation_Fairchild1990(XYZ_1, XYZ_n, XYZ_r, Y_n, discount_illuminant=False)

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 in domain [0, 100].
• 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

Warning

The input domain and output range of that definition are non standard!

Notes

• Input CIE XYZ_1, CIE XYZ_n and CIE XYZ_r tristimulus values are in domain [0, 100].
• Output CIE XYZ_2 tristimulus values are in range [0, 100].

References

• [Fai91]
• [Fai13c]

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...])