# colour.difference.delta_E_DIN99¶

colour.difference.delta_E_DIN99(Lab_1: ArrayLike, Lab_2: ArrayLike, textiles: bool = False) FloatingOrNDArray[source]

Return the difference $$\Delta E_{DIN99}$$ between two given CIE L*a*b* colourspace arrays using DIN99 formula.

Parameters
• Lab_1 (ArrayLike) – CIE L*a*b* colourspace array 1.

• Lab_2 (ArrayLike) – CIE L*a*b* colourspace array 2.

• textiles (bool) – Textiles application specific parametric factors, $$k_E=2,\ k_{CH}=0.5$$ weights are used instead of $$k_E=1,\ k_{CH}=1$$.

Returns

Colour difference $$\Delta E_{DIN99}$$.

Return type

Notes

Domain

Scale - Reference

Scale - 1

Lab_1

L_1 : [0, 100]

a_1 : [-100, 100]

b_1 : [-100, 100]

L_1 : [0, 1]

a_1 : [-1, 1]

b_1 : [-1, 1]

Lab_2

L_2 : [0, 100]

a_2 : [-100, 100]

b_2 : [-100, 100]

L_2 : [0, 1]

a_2 : [-1, 1]

b_2 : [-1, 1]

References

Examples

>>> import numpy as np
>>> Lab_1 = np.array([60.2574, -34.0099, 36.2677])
>>> Lab_2 = np.array([60.4626, -34.1751, 39.4387])
>>> delta_E_DIN99(Lab_1, Lab_2)
1.1772166...