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
--------
>>> import numpy as np
>>> xy = np.array([0.34567, 0.35850])
>>> D_illuminant_relative_spd(xy) # 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)
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
--------
>>> xy = np.array([0.34570, 0.35850])
>>> print(D_illuminant_relative_spd(xy))
SpectralPowerDistribution(\
'CIE Standard Illuminant D Series', (300.0, 830.0, 10.0))
"""
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)
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 & Stiles**,
*Color Science - Concepts and Methods Data and Formulae -
Second Edition*,
Wiley Classics Library Edition, published 2000,
ISBN-10: 0-471-39918-3,
page 146.
.. [2] http://www.brucelindbloom.com/Eqn_DIlluminant.html
(Last accessed 5 April 2014)
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)
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 & Stiles**,
*Color Science - Concepts and Methods Data and Formulae -
Second Edition*,
Wiley Classics Library Edition, published 2000,
ISBN-10: 0-471-39918-3,
page 146.
.. [2] http://www.brucelindbloom.com/Eqn_DIlluminant.html
(Last accessed 5 April 2014)
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)
