colour.delta_E

colour.delta_E(a, b, method='CIE 2000', **kwargs)[source]

Returns the difference \(\Delta E_{ab}\) between two given CIE L*a*b* or \(J'a'b'\) colourspace arrays using given method.

Parameters
  • a (array_like) – CIE L*a*b* or \(J'a'b'\) colourspace array \(a\).

  • b (array_like) – CIE L*a*b* or \(J'a'b'\) colourspace array \(b\).

  • method (unicode, optional) – {‘CIE 2000’, ‘CIE 1976’, ‘CIE 1994’, ‘CMC’, ‘CAM02-LCD’, ‘CAM02-SCD’, ‘CAM02-UCS’, ‘CAM16-LCD’, ‘CAM16-SCD’, ‘CAM16-UCS’, ‘DIN99’} Computation method.

Other Parameters
Returns

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

Return type

numeric or ndarray

References

[ASTMInternational07], [LLW+17], [Lin03a], [Lin11], [Lin09b], [Lin09c], [LCL06], [Mel13], [Wikipedia08c]

Examples

>>> import numpy as np
>>> a = np.array([100.00000000, 21.57210357, 272.22819350])
>>> b = np.array([100.00000000, 426.67945353, 72.39590835])
>>> delta_E(a, b)  
94.0356490...
>>> delta_E(a, b, method='CIE 2000')  
94.0356490...
>>> delta_E(a, b, method='CIE 1976')  
451.7133019...
>>> delta_E(a, b, method='CIE 1994')  
83.7792255...
>>> delta_E(a, b, method='CIE 1994', textiles=False)
... 
83.7792255...
>>> delta_E(a, b, method='DIN99')  
66.1119282...
>>> a = np.array([54.90433134, -0.08450395, -0.06854831])
>>> b = np.array([54.90433134, -0.08442362, -0.06848314])
>>> delta_E(a, b, method='CAM02-UCS')  
0.0001034...
>>> delta_E(a, b, method='CAM16-LCD')  
0.0001034...