colour.colorimetry.whiteness_Stensby1968

colour.colorimetry.whiteness_Stensby1968(Lab: 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 L*a*b* colourspace array using the Stensby (1968) method.

Parameters:

Lab (Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 100]) – CIE L*a*b* colourspace array of the sample.

Returns:

Whiteness index \(WI\).

Return type:

numpy.ndarray

Notes

Domain	Scale - Reference	Scale - 1
Lab	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
>>> Lab = np.array([100.00000000, -2.46875131, -16.72486654])
>>> whiteness_Stensby1968(Lab)
142.7683456...