colour.recovery.RGB_to_sd_Smits1999

colour.recovery.RGB_to_sd_Smits1999(RGB)[source]

Recovers the spectral distribution of given RGB colourspace array using Smits (1999) method.

Parameters

RGB (array_like, (3,)) – RGB colourspace array to recover the spectral distribution from.

Returns

Recovered spectral distribution.

Return type

SpectralDistribution

Notes

Domain

Scale - Reference

Scale - 1

RGB

[0, 1]

[0, 1]

References

[Smi99]

Examples

>>> from colour import MSDS_CMFS, SDS_ILLUMINANTS, SpectralShape
>>> from colour.colorimetry import sd_to_XYZ_integration
>>> from colour.utilities import numpy_print_options
>>> XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
>>> RGB = XYZ_to_RGB_Smits1999(XYZ)
>>> cmfs = (
...     MSDS_CMFS['CIE 1931 2 Degree Standard Observer'].
...     copy().align(SpectralShape(360, 780, 10))
... )
>>> illuminant = SDS_ILLUMINANTS['E'].copy().align(cmfs.shape)
>>> sd = RGB_to_sd_Smits1999(RGB)
>>> with numpy_print_options(suppress=True):
...     sd 
SpectralDistribution([[ 380.        ,    0.0787830...],
                      [ 417.7778    ,    0.0622018...],
                      [ 455.5556    ,    0.0446206...],
                      [ 493.3333    ,    0.0352220...],
                      [ 531.1111    ,    0.0324149...],
                      [ 568.8889    ,    0.0330105...],
                      [ 606.6667    ,    0.3207115...],
                      [ 644.4444    ,    0.3836164...],
                      [ 682.2222    ,    0.3836164...],
                      [ 720.        ,    0.3835649...]],
                     interpolator=LinearInterpolator,
                     interpolator_kwargs={},
                     extrapolator=Extrapolator,
                     extrapolator_kwargs={...})
>>> sd_to_XYZ_integration(sd, cmfs, illuminant) / 100  
array([ 0.1894770...,  0.1126470...,  0.0474420...])