colour.colorimetry.whiteness_Berger1959¶
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colour.colorimetry.
whiteness_Berger1959
(XYZ, XYZ_0)[source]¶ Returns the whiteness index \(WI\) of given sample CIE XYZ tristimulus values using Berger (1959) method.
Parameters: - XYZ (array_like) – CIE XYZ tristimulus values of sample.
- XYZ_0 (array_like) – CIE XYZ tristimulus values of reference white.
Returns: Whiteness \(WI\).
Return type: numeric or ndarray
Notes
Domain Scale - Reference Scale - 1 XYZ
[0, 100] [0, 1] XYZ_0
[0, 100] [0, 1] Range Scale - Reference Scale - 1 WI
[0, 100] [0, 1] - Whiteness \(WI\) values larger than 33.33 indicate a bluish white and values smaller than 33.33 indicate a yellowish white.
References
Examples
>>> import numpy as np >>> XYZ = np.array([95.00000000, 100.00000000, 105.00000000]) >>> XYZ_0 = np.array([94.80966767, 100.00000000, 107.30513595]) >>> whiteness_Berger1959(XYZ, XYZ_0) # doctest: +ELLIPSIS 30.3638017...