colour.colorimetry.whiteness_Taube1960

colour.colorimetry.whiteness_Taube1960(XYZ: Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 100], XYZ_0: Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 100]) → Annotated[ndarray[tuple[Any, ...], dtype[float16 | float32 | float64]], 100]

Compute the whiteness index \(WI\) of the specified sample CIE XYZ tristimulus values using the Taube (1960) method.

Parameters:

• XYZ (Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 100]) – CIE XYZ tristimulus values of the sample.

• XYZ_0 (Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 100]) – CIE XYZ tristimulus values of the reference white.

Returns:

Whiteness index \(WI\).

Return type:

numpy.ndarray

Notes

Domain	Scale - Reference	Scale - 1
XYZ	100	1
XYZ_0	100	1

Range	Scale - Reference	Scale - 1
WI	100	1

• Whiteness \(WI\) values larger than 100 indicate a bluish white and values smaller than 100 indicate a yellowish white.

References

[XRitePantone12]

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_Taube1960(XYZ, XYZ_0)
91.4071738...