colour.recovery.smits1999 Module

Smits (1999) - Reflectance Recovery

Defines objects for reflectance recovery using Smits (1999) method.

See also

Smits (1999) - Reflectance Recovery IPython Notebook

References

[1]Smits, B. (1999). An RGB-to-Spectrum Conversion for Reflectances. Journal of Graphics Tools, 4(4), 11–22. doi:10.1080/10867651.1999.10487511
colour.recovery.smits1999.SMITS1999_PRIMARIES = array([[ 0.64, 0.33], [ 0.3 , 0.6 ], [ 0.15, 0.06]])

Current Smits (1999) method implementation colourspace primaries.

SMITS1999_PRIMARIES : ndarray, (3, 2)

colour.recovery.smits1999.SMITS1999_WHITEPOINT = (0.3333333333333333, 0.3333333333333333)

Current Smits (1999) method implementation colourspace whitepoint.

SMITS1999_WHITEPOINT : tuple

colour.recovery.smits1999.SMITS1999_XYZ_TO_RGB_MATRIX = array([[ 2.68965517, -1.27586207, -0.4137931 ], [-1.02210817, 1.97828662, 0.04382156], [ 0.06122449, -0.2244898 , 1.16326531]])

Current Smits (1999) method implementation RGB colourspace to CIE XYZ colourspace matrix.

SMITS1999_XYZ_TO_RGB_MATRIX : array_like, (3, 3)

colour.recovery.smits1999.XYZ_to_RGB_smits1999(XYZ, chromatic_adaptation_transform=u'Bradford')[source]

Convenient object to convert from CIE XYZ colourspace to RGB colourspace in conditions required by the current Smits (1999) method implementation.

Parameters:
  • XYZ (array_like, (3,)) – CIE XYZ colourspace matrix.
  • chromatic_adaptation_method (unicode, optional) – {‘CAT02’, ‘XYZ Scaling’, ‘Von Kries’, ‘Bradford’, ‘Sharp’, ‘Fairchild, ‘CMCCAT97’, ‘CMCCAT2000’, ‘Bianco’, ‘Bianco PC’}, Chromatic adaptation method.
Returns:

RGB colour matrix.
Return type:

ndarray, (3,)

Notes

  • Input CIE XYZ colourspace matrix is in domain [0, 1].

Examples

>>> XYZ = np.array([0.07049534, 0.1008, 0.09558313])
>>> XYZ_to_RGB_smits1999(XYZ)  
array([ 0.0214496...,  0.1315460...,  0.0928760...])
colour.recovery.smits1999.RGB_to_spectral_Smits1999(RGB)[source]

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

Parameters:RGB (array_like, (3,)) – RGB colourspace matrix.
Returns:Recovered spectral power distribution.
Return type:SpectralPowerDistribution

Examples

>>> RGB = np.array([0.02144962, 0.13154603, 0.09287601])
>>> RGB_to_spectral_Smits1999(RGB)  
<...SpectralPowerDistribution object at 0x...>