#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Illuminants
===========
Defines *CIE* illuminants computation related objects.
See Also
--------
`Illuminants IPython Notebook
<http://nbviewer.ipython.org/github/colour-science/colour-ipython/blob/master/notebooks/colorimetry/illuminants.ipynb>`_ # noqa
colour.colorimetry.dataset.illuminants.d_illuminants_s_spds,
colour.colorimetry.spectrum.SpectralPowerDistribution
"""
from __future__ import division, unicode_literals
from colour.colorimetry import D_ILLUMINANTS_S_SPDS
from colour.colorimetry import SpectralPowerDistribution
__author__ = 'Colour Developers'
__copyright__ = 'Copyright (C) 2013 - 2014 - Colour Developers'
__license__ = 'New BSD License - http://opensource.org/licenses/BSD-3-Clause'
__maintainer__ = 'Colour Developers'
__email__ = 'colour-science@googlegroups.com'
__status__ = 'Production'
__all__ = ['D_illuminant_relative_spd']
[docs]def D_illuminant_relative_spd(xy):
"""
Returns the relative spectral power distribution of given
*CIE Standard Illuminant D Series* using given *xy* chromaticity
coordinates.
References
----------
.. [1] Wyszecki, G., & Stiles, W. S. (2000). CIE Method of Calculating
D-Illuminants. In Color Science: Concepts and Methods,
Quantitative Data and Formulae (pp. 145–146). Wiley.
ISBN:978-0471399186
.. [2] Lindbloom, B. (2007). Spectral Power Distribution of a
CIE D-Illuminant. Retrieved April 05, 2014, from
http://www.brucelindbloom.com/Eqn_DIlluminant.html
Parameters
----------
xy : array_like
*xy* chromaticity coordinates.
Returns
-------
SpectralPowerDistribution
*CIE Standard Illuminant D Series* relative spectral power
distribution.
Examples
--------
>>> D_illuminant_relative_spd((0.34567, 0.35850)) # doctest: +ELLIPSIS
<colour.colorimetry.spectrum.SpectralPowerDistribution object at 0x...>
"""
M = 0.0241 + 0.2562 * xy[0] - 0.7341 * xy[1]
M1 = (-1.3515 - 1.7703 * xy[0] + 5.9114 * xy[1]) / M
M2 = (0.0300 - 31.4424 * xy[0] + 30.0717 * xy[1]) / M
distribution = {}
for i in D_ILLUMINANTS_S_SPDS.get('S0').shape:
S0 = D_ILLUMINANTS_S_SPDS.get('S0').get(i)
S1 = D_ILLUMINANTS_S_SPDS.get('S1').get(i)
S2 = D_ILLUMINANTS_S_SPDS.get('S2').get(i)
distribution[i] = S0 + M1 * S1 + M2 * S2
return SpectralPowerDistribution('CIE Standard Illuminant D Series',
distribution)