colour.difference.delta_E_CIE1994#

Compute the colour difference \(\Delta E_{94}\) between two specified CIE L*a*b* colourspace arrays using the CIE 1994 recommendation.

Parameters:

Lab_1 (Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 100]) – CIE L*a*b* colourspace array 1.
Lab_2 (Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 100]) – CIE L*a*b* colourspace array 2.
textiles (bool) – Textiles application specific parametric factors, \(k_L=2,\ k_C=k_H=1,\ k_1=0.048,\ k_2=0.014\) weights are used instead of \(k_L=k_C=k_H=1,\ k_1=0.045,\ k_2=0.015\).

Returns:

Colour difference \(\Delta E_{94}\).

Return type:

numpy.ndarray

Notes

Domain	Scale - Reference	Scale - 1
`Lab_1`	100	1
`Lab_2`	100	1

CIE 1994 colour differences are not symmetrical: difference between Lab_1 and Lab_2 may not be the same as difference between Lab_2 and Lab_1 thus one colour must be understood to be the reference against which a sample colour is compared.

References

[Lin11]

Examples

>>> Lab_1 = np.array([48.99183622, -0.10561667, 400.65619925])
>>> Lab_2 = np.array([50.65907324, -0.11671910, 402.82235718])
>>> delta_E_CIE1994(Lab_1, Lab_2)
1.6711191...
>>> delta_E_CIE1994(Lab_1, Lab_2, textiles=True)
0.8404677...

colour.difference.delta_E_CIE1994#

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