colour.characterisation.colour_correction_Cheung2004#

colour.characterisation.colour_correction_Cheung2004(RGB: ArrayLike, M_T: ArrayLike, M_R: ArrayLike, terms: Literal[3, 5, 7, 8, 10, 11, 14, 16, 17, 19, 20, 22] = 3) numpy.ndarray[source]#

Perform colour correction of given RGB colourspace array using the colour correction matrix from given \(M_T\) colour array to \(M_R\) colour array using Cheung et al. (2004) method.

Parameters
  • RGB (ArrayLike) – RGB colourspace array to colour correct.

  • M_T (ArrayLike) – Test array \(M_T\) to fit onto array \(M_R\).

  • M_R (ArrayLike) – Reference array the array \(M_T\) will be colour fitted against.

  • terms (Literal[3, 5, 7, 8, 10, 11, 14, 16, 17, 19, 20, 22]) – Number of terms of the expanded polynomial.

Returns

Colour corrected RGB colourspace array.

Return type

numpy.ndarray

References

[CWCR04], [WR04]

Examples

>>> RGB = np.array([0.17224810, 0.09170660, 0.06416938])
>>> prng = np.random.RandomState(2)
>>> M_T = prng.random_sample((24, 3))
>>> M_R = M_T + (prng.random_sample((24, 3)) - 0.5) * 0.5
>>> colour_correction_Cheung2004(RGB, M_T, M_R)  
array([ 0.1793456...,  0.1003392...,  0.0617218...])