colour.matrix_anomalous_trichromacy_Machado2009

colour.matrix_anomalous_trichromacy_Machado2009(cmfs: colour.colorimetry.cmfs.LMS_ConeFundamentals, primaries: colour.characterisation.displays.RGB_DisplayPrimaries, d_LMS: ArrayLike) → numpy.ndarray

Compute the Machado et al. (2009) CVD matrix for given LMS cone fundamentals colour matching functions and display primaries tri-spectral distributions with given \(\Delta_{LMS}\) shift amount in nanometers to simulate anomalous trichromacy.

Parameters

• cmfs (colour.colorimetry.cmfs.LMS_ConeFundamentals) – LMS cone fundamentals colour matching functions.

• primaries (colour.characterisation.displays.RGB_DisplayPrimaries) – RGB display primaries tri-spectral distributions.

• d_LMS (ArrayLike) – \(\Delta_{LMS}\) shift amount in nanometers.

Return type

numpy.ndarray

Notes

• Input LMS cone fundamentals colour matching functions interval is expected to be 1 nanometer, incompatible input will be interpolated at 1 nanometer interval.

• Input \(\Delta_{LMS}\) shift amount is in domain [0, 20].

Returns

Anomalous trichromacy matrix.

Return type

numpy.ndarray

Parameters

• cmfs (colour.colorimetry.cmfs.LMS_ConeFundamentals) –

• primaries (colour.characterisation.displays.RGB_DisplayPrimaries) –

• d_LMS (ArrayLike) –

References

[Colblindorb], [Colblindora], [Colblindorc], [MOF09]

Examples

>>> from colour.characterisation import MSDS_DISPLAY_PRIMARIES
>>> from colour.colorimetry import MSDS_CMFS_LMS
>>> cmfs = MSDS_CMFS_LMS['Stockman & Sharpe 2 Degree Cone Fundamentals']
>>> d_LMS = np.array([15, 0, 0])
>>> primaries = MSDS_DISPLAY_PRIMARIES['Apple Studio Display']
>>> matrix_anomalous_trichromacy_Machado2009(cmfs, primaries, d_LMS)
... 
array([[-0.2777465...,  2.6515008..., -1.3737543...],
       [ 0.2718936...,  0.2004786...,  0.5276276...],
       [ 0.0064404...,  0.2592157...,  0.7343437...]])

previous

colour.msds_cmfs_anomalous_trichromacy_Machado2009

next

colour.matrix_cvd_Machado2009