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 [source]¶
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
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
- Parameters
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...]])