def RGB_10_degree_cmfs_to_XYZ_10_degree_cmfs(wavelength):
"""
Converts *Stiles & Burch 1959 10 Degree RGB CMFs* colour matching
functions into the *CIE 1964 10 Degree Standard Observer* colour matching
functions.
Parameters
----------
wavelength : numeric
Wavelength :math:`\lambda` in nm.
Returns
-------
ndarray, (3,)
*CIE 1964 10 Degree Standard Observer* spectral tristimulus values.
Raises
------
KeyError
If wavelength :math:`\lambda` is not available in the colour matching
functions.
See Also
--------
:attr:`colour.colorimetry.dataset.cmfs.RGB_CMFS`
Notes
-----
- Data for the *CIE 1964 10 Degree Standard Observer* already exists,
this definition is intended for educational purpose.
References
----------
.. [2] **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 141.
Examples
--------
>>> RGB_10_degree_cmfs_to_XYZ_10_degree_cmfs(700) # doctest: +ELLIPSIS
array([ 9.6432150...e-03, 3.7526317...e-03, -4.1078830...e-06])
"""
cmfs = RGB_CMFS.get('Stiles & Burch 1959 10 Degree RGB CMFs')
r_bar, g_bar, b_bar = cmfs.r_bar.get(wavelength), cmfs.g_bar.get(
wavelength), cmfs.b_bar.get(wavelength)
if None in (r_bar, g_bar, b_bar):
raise KeyError(('"{0} nm" wavelength not available in "{1}" colour '
'matching functions with "{2}" shape!').format(
wavelength, cmfs.name, cmfs.shape))
x_bar = 0.341080 * r_bar + 0.189145 * g_bar + 0.387529 * b_bar
y_bar = 0.139058 * r_bar + 0.837460 * g_bar + 0.073316 * b_bar
z_bar = 0.000000 * r_bar + 0.039553 * g_bar + 2.026200 * b_bar
return np.array([x_bar, y_bar, z_bar])
def RGB_10_degree_cmfs_to_XYZ_10_degree_cmfs(wavelength):
"""
Converts *Stiles & Burch 1959 10 Degree RGB CMFs* colour matching
functions into the *CIE 1964 10 Degree Standard Observer* colour matching
functions.
Parameters
----------
wavelength : numeric
Wavelength :math:`\lambda` in nm.
Returns
-------
ndarray, (3,)
*CIE 1964 10 Degree Standard Observer* spectral tristimulus values.
Raises
------
KeyError
If wavelength :math:`\lambda` is not available in the colour matching
functions.
See Also
--------
:attr:`colour.colorimetry.dataset.cmfs.RGB_CMFS`
Notes
-----
- Data for the *CIE 1964 10 Degree Standard Observer* already exists,
this definition is intended for educational purpose.
References
----------
.. [2] **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 141.
Examples
--------
>>> RGB_10_degree_cmfs_to_XYZ_10_degree_cmfs(700) # doctest: +ELLIPSIS
array([ 9.6432150...e-03, 3.7526317...e-03, -4.1078830...e-06])
"""
cmfs = RGB_CMFS.get('Stiles & Burch 1959 10 Degree RGB CMFs')
r_bar, g_bar, b_bar = cmfs.r_bar.get(wavelength), cmfs.g_bar.get(
wavelength), cmfs.b_bar.get(wavelength)
if None in (r_bar, g_bar, b_bar):
raise KeyError(('"{0} nm" wavelength not available in "{1}" colour '
'matching functions with "{2}" shape!').format(
wavelength, cmfs.name, cmfs.shape))
x_bar = 0.341080 * r_bar + 0.189145 * g_bar + 0.387529 * b_bar
y_bar = 0.139058 * r_bar + 0.837460 * g_bar + 0.073316 * b_bar
z_bar = 0.000000 * r_bar + 0.039553 * g_bar + 2.026200 * b_bar
return np.array([x_bar, y_bar, z_bar])
def RGB_10_degree_cmfs_to_LMS_10_degree_cmfs(wavelength):
"""
Converts *Stiles & Burch 1959 10 Degree RGB CMFs* colour matching
functions into the *Stockman & Sharpe 10 Degree Cone Fundamentals*
spectral sensitivity functions.
Parameters
----------
wavelength : numeric
Wavelength :math:`\lambda` in nm.
Returns
-------
ndarray, (3,)
*Stockman & Sharpe 10 Degree Cone Fundamentals* spectral tristimulus
values.
Raises
------
KeyError
If wavelength :math:`\lambda` is not available in the colour matching
functions.
Notes
-----
- Data for the *Stockman & Sharpe 10 Degree Cone Fundamentals* already
exists, this definition is intended for educational purpose.
References
----------
.. [3] CIE TC 1-36. (2006). CIE 170-1:2006 Fundamental Chromaticity
Diagram with Physiological Axes - Part 1 (pp. 1–56).
ISBN:978-3-901-90646-6
Examples
--------
>>> RGB_10_degree_cmfs_to_LMS_10_degree_cmfs(700) # doctest: +ELLIPSIS
array([ 0.0052860..., 0.0003252..., 0. ])
"""
cmfs = RGB_CMFS.get('Stiles & Burch 1959 10 Degree RGB CMFs')
r_bar, g_bar, z_bar = cmfs.r_bar.get(wavelength), cmfs.g_bar.get(
wavelength), cmfs.b_bar.get(wavelength)
if None in (r_bar, g_bar, z_bar):
raise KeyError(('"{0} nm" wavelength not available in "{1}" colour '
'matching functions with "{2}" shape!').format(
wavelength, cmfs.name, cmfs.shape))
l_bar = 0.192325269 * r_bar + 0.749548882 * g_bar + 0.0675726702 * z_bar
g_bar = 0.0192290085 * r_bar + 0.940908496 * g_bar + 0.113830196 * z_bar
z_bar = (0.0105107859 * g_bar + 0.991427669 * z_bar
if wavelength <= 505 else 0)
return np.array([l_bar, g_bar, z_bar])
def RGB_10_degree_cmfs_to_LMS_10_degree_cmfs(wavelength):
"""
Converts *Stiles & Burch 1959 10 Degree RGB CMFs* colour matching
functions into the *Stockman & Sharpe 10 Degree Cone Fundamentals*
spectral sensitivity functions.
Parameters
----------
wavelength : numeric
Wavelength :math:`\lambda` in nm.
Returns
-------
ndarray, (3,)
*Stockman & Sharpe 10 Degree Cone Fundamentals* spectral tristimulus
values.
Raises
------
KeyError
If wavelength :math:`\lambda` is not available in the colour matching
functions.
Notes
-----
- Data for the *Stockman & Sharpe 10 Degree Cone Fundamentals* already
exists, this definition is intended for educational purpose.
References
----------
.. [3] `CIE 170-1:2006 Fundamental Chromaticity Diagram with Physiological
Axes - Part 1 <http://div1.cie.co.at/?i_ca_id=551&pubid=48>`_,
ISBN-13: 978-3-901-90646-6
Examples
--------
>>> RGB_10_degree_cmfs_to_LMS_10_degree_cmfs(700) # doctest: +ELLIPSIS
array([ 0.0052860..., 0.0003252..., 0. ])
"""
cmfs = RGB_CMFS.get('Stiles & Burch 1959 10 Degree RGB CMFs')
r_bar, g_bar, z_bar = cmfs.r_bar.get(wavelength), cmfs.g_bar.get(
wavelength), cmfs.b_bar.get(wavelength)
if None in (r_bar, g_bar, z_bar):
raise KeyError(('"{0} nm" wavelength not available in "{1}" colour '
'matching functions with "{2}" shape!').format(
wavelength, cmfs.name, cmfs.shape))
l_bar = 0.192325269 * r_bar + 0.749548882 * g_bar + 0.0675726702 * z_bar
g_bar = 0.0192290085 * r_bar + 0.940908496 * g_bar + 0.113830196 * z_bar
z_bar = (0.0105107859 * g_bar +
0.991427669 * z_bar if wavelength <= 505 else 0)
return np.array([l_bar, g_bar, z_bar])
def RGB_10_degree_cmfs_to_XYZ_10_degree_cmfs(wavelength):
"""
Converts *Stiles & Burch 1959 10 Degree RGB CMFs* colour matching
functions into the *CIE 1964 10 Degree Standard Observer* colour matching
functions.
Parameters
----------
wavelength : numeric or array_like
Wavelength :math:`\lambda` in nm.
Returns
-------
ndarray
*CIE 1964 10 Degree Standard Observer* spectral tristimulus values.
See Also
--------
:attr:`colour.colorimetry.dataset.cmfs.RGB_CMFS`
Notes
-----
- Data for the *CIE 1964 10 Degree Standard Observer* already exists,
this definition is intended for educational purpose.
References
----------
.. [2] Wyszecki, G., & Stiles, W. S. (2000). The CIE 1964 Standard
Observer. In Color Science: Concepts and Methods, Quantitative
Data and Formulae (p. 141). Wiley. ISBN:978-0471399186
Examples
--------
>>> RGB_10_degree_cmfs_to_XYZ_10_degree_cmfs(700) # doctest: +ELLIPSIS
array([ 9.6432150...e-03, 3.7526317...e-03, -4.1078830...e-06])
"""
cmfs = RGB_CMFS.get('Stiles & Burch 1959 10 Degree RGB CMFs')
rgb_bar = cmfs.get(wavelength)
M = np.array([[0.341080, 0.189145, 0.387529],
[0.139058, 0.837460, 0.073316],
[0.000000, 0.039553, 2.026200]])
xyz_bar = dot_vector(M, rgb_bar)
return xyz_bar
def RGB_10_degree_cmfs_to_XYZ_10_degree_cmfs(wavelength):
"""
Converts *Stiles & Burch 1959 10 Degree RGB CMFs* colour matching
functions into the *CIE 1964 10 Degree Standard Observer* colour matching
functions.
Parameters
----------
wavelength : numeric or array_like
Wavelength :math:`\lambda` in nm.
Returns
-------
ndarray
*CIE 1964 10 Degree Standard Observer* spectral tristimulus values.
See Also
--------
:attr:`colour.colorimetry.dataset.cmfs.RGB_CMFS`
Notes
-----
- Data for the *CIE 1964 10 Degree Standard Observer* already exists,
this definition is intended for educational purpose.
References
----------
.. [2] Wyszecki, G., & Stiles, W. S. (2000). The CIE 1964 Standard
Observer. In Color Science: Concepts and Methods, Quantitative
Data and Formulae (p. 141). Wiley. ISBN:978-0471399186
Examples
--------
>>> RGB_10_degree_cmfs_to_XYZ_10_degree_cmfs(700) # doctest: +ELLIPSIS
array([ 9.6432150...e-03, 3.7526317...e-03, -4.1078830...e-06])
"""
cmfs = RGB_CMFS.get('Stiles & Burch 1959 10 Degree RGB CMFs')
rgb_bar = cmfs.get(wavelength)
M = np.array([[0.341080, 0.189145,
0.387529], [0.139058, 0.837460, 0.073316],
[0.000000, 0.039553, 2.026200]])
xyz_bar = dot_vector(M, rgb_bar)
return xyz_bar
def RGB_10_degree_cmfs_to_LMS_10_degree_cmfs(wavelength):
"""
Converts *Stiles & Burch 1959 10 Degree RGB CMFs* colour matching
functions into the *Stockman & Sharpe 10 Degree Cone Fundamentals*
spectral sensitivity functions.
Parameters
----------
wavelength : numeric or array_like
Wavelength :math:`\lambda` in nm.
Returns
-------
ndarray
*Stockman & Sharpe 10 Degree Cone Fundamentals* spectral tristimulus
values.
Notes
-----
- Data for the *Stockman & Sharpe 10 Degree Cone Fundamentals* already
exists, this definition is intended for educational purpose.
References
----------
.. [3] CIE TC 1-36. (2006). CIE 170-1:2006 Fundamental Chromaticity
Diagram with Physiological Axes - Part 1 (pp. 1–56).
ISBN:978-3-901-90646-6
Examples
--------
>>> RGB_10_degree_cmfs_to_LMS_10_degree_cmfs(700) # doctest: +ELLIPSIS
array([ 0.0052860..., 0.0003252..., 0. ])
"""
cmfs = RGB_CMFS.get('Stiles & Burch 1959 10 Degree RGB CMFs')
rgb_bar = cmfs.get(wavelength)
M = np.array([[0.1923252690, 0.749548882, 0.0675726702],
[0.0192290085, 0.940908496, 0.113830196],
[0.0000000000, 0.0105107859, 0.991427669]])
lms_bar = dot_vector(M, rgb_bar)
lms_bar[..., -1][np.asarray(np.asarray(wavelength) > 505)] = 0
return lms_bar
def RGB_10_degree_cmfs_to_LMS_10_degree_cmfs(wavelength):
"""
Converts *Stiles & Burch 1959 10 Degree RGB CMFs* colour matching
functions into the *Stockman & Sharpe 10 Degree Cone Fundamentals*
spectral sensitivity functions.
Parameters
----------
wavelength : numeric or array_like
Wavelength :math:`\lambda` in nm.
Returns
-------
ndarray
*Stockman & Sharpe 10 Degree Cone Fundamentals* spectral tristimulus
values.
Notes
-----
- Data for the *Stockman & Sharpe 10 Degree Cone Fundamentals* already
exists, this definition is intended for educational purpose.
References
----------
.. [3] CIE TC 1-36. (2006). CIE 170-1:2006 Fundamental Chromaticity
Diagram with Physiological Axes - Part 1 (pp. 1–56).
ISBN:978-3-901-90646-6
Examples
--------
>>> RGB_10_degree_cmfs_to_LMS_10_degree_cmfs(700) # doctest: +ELLIPSIS
array([ 0.0052860..., 0.0003252..., 0. ])
"""
cmfs = RGB_CMFS.get('Stiles & Burch 1959 10 Degree RGB CMFs')
rgb_bar = cmfs.get(wavelength)
M = np.array([[0.1923252690, 0.749548882, 0.0675726702],
[0.0192290085, 0.940908496, 0.113830196],
[0.0000000000, 0.0105107859, 0.991427669]])
lms_bar = dot_vector(M, rgb_bar)
lms_bar[..., -1][np.asarray(np.asarray(wavelength) > 505)] = 0
return lms_bar
def RGB_2_degree_cmfs_to_XYZ_2_degree_cmfs(wavelength):
"""
Converts *Wright & Guild 1931 2 Degree RGB CMFs* colour matching functions
into the *CIE 1931 2 Degree Standard Observer* colour matching functions.
Parameters
----------
wavelength : numeric or array_like
Wavelength :math:`\lambda` in nm.
Returns
-------
ndarray
*CIE 1931 2 Degree Standard Observer* spectral tristimulus values.
See Also
--------
:attr:`colour.colorimetry.dataset.cmfs.RGB_CMFS`
Notes
-----
- Data for the *CIE 1931 2 Degree Standard Observer* already exists,
this definition is intended for educational purpose.
References
----------
.. [1] Wyszecki, G., & Stiles, W. S. (2000). Table 1(3.3.3). In Color
Science: Concepts and Methods, Quantitative Data and Formulae
(pp. 138–139). Wiley. ISBN:978-0471399186
Examples
--------
>>> RGB_2_degree_cmfs_to_XYZ_2_degree_cmfs(700) # doctest: +ELLIPSIS
array([ 0.0113577..., 0.004102 , 0. ])
"""
cmfs = RGB_CMFS.get('Wright & Guild 1931 2 Degree RGB CMFs')
rgb_bar = cmfs.get(wavelength)
rgb = rgb_bar / np.sum(rgb_bar)
M1 = np.array([[0.49000, 0.31000, 0.20000],
[0.17697, 0.81240, 0.01063],
[0.00000, 0.01000, 0.99000]])
M2 = np.array([[0.66697, 1.13240, 1.20063],
[0.66697, 1.13240, 1.20063],
[0.66697, 1.13240, 1.20063]])
xyz = dot_vector(M1, rgb)
xyz /= dot_vector(M2, rgb)
x, y, z = xyz[..., 0], xyz[..., 1], xyz[..., 2]
V = PHOTOPIC_LEFS.get('CIE 1924 Photopic Standard Observer').clone()
V.align(cmfs.shape)
L = V.get(wavelength)
x_bar = x / y * L
y_bar = L
z_bar = z / y * L
xyz_bar = tstack((x_bar, y_bar, z_bar))
return xyz_bar
def RGB_2_degree_cmfs_to_XYZ_2_degree_cmfs(wavelength):
"""
Converts *Wright & Guild 1931 2 Degree RGB CMFs* colour matching functions
into the *CIE 1931 2 Degree Standard Observer* colour matching functions.
Parameters
----------
wavelength : numeric
Wavelength :math:`\lambda` in nm.
Returns
-------
ndarray, (3,)
*CIE 1931 2 Degree Standard Observer* spectral tristimulus values.
Raises
------
KeyError
If wavelength :math:`\lambda` is not available in the colour matching
functions.
See Also
--------
:attr:`colour.colorimetry.dataset.cmfs.RGB_CMFS`
Notes
-----
- Data for the *CIE 1931 2 Degree Standard Observer* already exists,
this definition is intended for educational purpose.
References
----------
.. [1] Wyszecki, G., & Stiles, W. S. (2000). Table 1(3.3.3). In Color
Science: Concepts and Methods, Quantitative Data and Formulae
(pp. 138–139). Wiley. ISBN:978-0471399186
Examples
--------
>>> RGB_2_degree_cmfs_to_XYZ_2_degree_cmfs(700) # doctest: +ELLIPSIS
array([ 0.0113577..., 0.004102 , 0. ])
"""
cmfs = RGB_CMFS.get('Wright & Guild 1931 2 Degree RGB CMFs')
r_bar, g_bar, b_bar = cmfs.r_bar.get(wavelength), cmfs.g_bar.get(
wavelength), cmfs.b_bar.get(wavelength)
if None in (r_bar, g_bar, b_bar):
raise KeyError(('"{0} nm" wavelength not available in "{1}" colour '
'matching functions with "{2}" shape!').format(
wavelength, cmfs.name, cmfs.shape))
r = r_bar / (r_bar + g_bar + b_bar)
g = g_bar / (r_bar + g_bar + b_bar)
b = b_bar / (r_bar + g_bar + b_bar)
x = ((0.49000 * r + 0.31000 * g + 0.20000 * b) /
(0.66697 * r + 1.13240 * g + 1.20063 * b))
y = ((0.17697 * r + 0.81240 * g + 0.01063 * b) /
(0.66697 * r + 1.13240 * g + 1.20063 * b))
z = ((0.00000 * r + 0.01000 * g + 0.99000 * b) /
(0.66697 * r + 1.13240 * g + 1.20063 * b))
V = PHOTOPIC_LEFS.get('CIE 1924 Photopic Standard Observer').clone()
V.align(cmfs.shape)
L = V.get(wavelength)
x_bar = x / y * L
y_bar = L
z_bar = z / y * L
return np.array([x_bar, y_bar, z_bar])
def RGB_2_degree_cmfs_to_XYZ_2_degree_cmfs(wavelength):
"""
Converts *Wright & Guild 1931 2 Degree RGB CMFs* colour matching functions
into the *CIE 1931 2 Degree Standard Observer* colour matching functions.
Parameters
----------
wavelength : numeric or array_like
Wavelength :math:`\lambda` in nm.
Returns
-------
ndarray
*CIE 1931 2 Degree Standard Observer* spectral tristimulus values.
See Also
--------
:attr:`colour.colorimetry.dataset.cmfs.RGB_CMFS`
Notes
-----
- Data for the *CIE 1931 2 Degree Standard Observer* already exists,
this definition is intended for educational purpose.
References
----------
.. [1] Wyszecki, G., & Stiles, W. S. (2000). Table 1(3.3.3). In Color
Science: Concepts and Methods, Quantitative Data and Formulae
(pp. 138–139). Wiley. ISBN:978-0471399186
Examples
--------
>>> RGB_2_degree_cmfs_to_XYZ_2_degree_cmfs(700) # doctest: +ELLIPSIS
array([ 0.0113577..., 0.004102 , 0. ])
"""
cmfs = RGB_CMFS.get('Wright & Guild 1931 2 Degree RGB CMFs')
rgb_bar = cmfs.get(wavelength)
rgb = rgb_bar / np.sum(rgb_bar)
M1 = np.array([[0.49000, 0.31000, 0.20000], [0.17697, 0.81240, 0.01063],
[0.00000, 0.01000, 0.99000]])
M2 = np.array([[0.66697, 1.13240, 1.20063], [0.66697, 1.13240, 1.20063],
[0.66697, 1.13240, 1.20063]])
xyz = dot_vector(M1, rgb)
xyz /= dot_vector(M2, rgb)
x, y, z = xyz[..., 0], xyz[..., 1], xyz[..., 2]
V = PHOTOPIC_LEFS.get('CIE 1924 Photopic Standard Observer').clone()
V.align(cmfs.shape)
L = V.get(wavelength)
x_bar = x / y * L
y_bar = L
z_bar = z / y * L
xyz_bar = tstack((x_bar, y_bar, z_bar))
return xyz_bar
def RGB_2_degree_cmfs_to_XYZ_2_degree_cmfs(wavelength):
"""
Converts *Wright & Guild 1931 2 Degree RGB CMFs* colour matching functions
into the *CIE 1931 2 Degree Standard Observer* colour matching functions.
Parameters
----------
wavelength : numeric
Wavelength :math:`\lambda` in nm.
Returns
-------
ndarray, (3,)
*CIE 1931 2 Degree Standard Observer* spectral tristimulus values.
Raises
------
KeyError
If wavelength :math:`\lambda` is not available in the colour matching
functions.
See Also
--------
:attr:`colour.colorimetry.dataset.cmfs.RGB_CMFS`
Notes
-----
- Data for the *CIE 1931 2 Degree Standard Observer* already exists,
this definition is intended for educational purpose.
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,
pages 138, 139.
Examples
--------
>>> RGB_2_degree_cmfs_to_XYZ_2_degree_cmfs(700) # doctest: +ELLIPSIS
array([ 0.0113577..., 0.004102 , 0. ])
"""
cmfs = RGB_CMFS.get('Wright & Guild 1931 2 Degree RGB CMFs')
r_bar, g_bar, b_bar = cmfs.r_bar.get(wavelength), cmfs.g_bar.get(
wavelength), cmfs.b_bar.get(wavelength)
if None in (r_bar, g_bar, b_bar):
raise KeyError(('"{0} nm" wavelength not available in "{1}" colour '
'matching functions with "{2}" shape!').format(
wavelength, cmfs.name, cmfs.shape))
r = r_bar / (r_bar + g_bar + b_bar)
g = g_bar / (r_bar + g_bar + b_bar)
b = b_bar / (r_bar + g_bar + b_bar)
x = ((0.49000 * r + 0.31000 * g + 0.20000 * b) /
(0.66697 * r + 1.13240 * g + 1.20063 * b))
y = ((0.17697 * r + 0.81240 * g + 0.01063 * b) /
(0.66697 * r + 1.13240 * g + 1.20063 * b))
z = ((0.00000 * r + 0.01000 * g + 0.99000 * b) /
(0.66697 * r + 1.13240 * g + 1.20063 * b))
V = PHOTOPIC_LEFS.get('CIE 1924 Photopic Standard Observer').clone()
V.align(cmfs.shape)
L = V.get(wavelength)
x_bar = x / y * L
y_bar = L
z_bar = z / y * L
return np.array([x_bar, y_bar, z_bar])
