"""
CIE L*u*v* Colourspace
======================
Defines the *CIE L\\*u\\*v\\** colourspace transformations:
- :func:`colour.XYZ_to_Luv`
- :func:`colour.Luv_to_XYZ`
- :func:`colour.Luv_to_uv`
- :func:`colour.uv_to_Luv`
- :func:`colour.Luv_uv_to_xy`
- :func:`colour.xy_to_Luv_uv`
- :func:`colour.Luv_to_LCHuv`
- :func:`colour.LCHuv_to_Luv`
References
----------
- :cite:`CIETC1-482004j` : CIE TC 1-48. (2004). CIE 1976 uniform
chromaticity scale diagram (UCS diagram). In CIE 015:2004 Colorimetry, 3rd
Edition (p. 24). ISBN:978-3-901906-33-6
- :cite:`CIETC1-482004m` : CIE TC 1-48. (2004). CIE 1976 uniform colour
spaces. In CIE 015:2004 Colorimetry, 3rd Edition (p. 24).
ISBN:978-3-901906-33-6
- :cite:`Wikipedia2007b` : Wikipedia. (2007). CIELUV. Retrieved February 24,
2014, from http://en.wikipedia.org/wiki/CIELUV
- :cite:`Wikipedia2007d` : Wikipedia. (2007). The reverse transformation.
Retrieved February 24, 2014, from
http://en.wikipedia.org/wiki/CIELUV#The_reverse_transformation
"""
from __future__ import annotations
from colour.colorimetry import (
CCS_ILLUMINANTS,
lightness_CIE1976,
luminance_CIE1976,
)
from colour.hints import ArrayLike, Floating, NDArray
from colour.models import xy_to_xyY, xyY_to_XYZ, Jab_to_JCh, JCh_to_Jab
from colour.utilities import (
domain_range_scale,
as_float_scalar,
from_range_1,
from_range_100,
full,
to_domain_1,
to_domain_100,
tsplit,
tstack,
)
__author__ = "Colour Developers"
__copyright__ = "Copyright 2013 Colour Developers"
__license__ = "New BSD License - https://opensource.org/licenses/BSD-3-Clause"
__maintainer__ = "Colour Developers"
__email__ = "colour-developers@colour-science.org"
__status__ = "Production"
__all__ = [
"XYZ_to_Luv",
"Luv_to_XYZ",
"Luv_to_uv",
"uv_to_Luv",
"Luv_uv_to_xy",
"xy_to_Luv_uv",
"Luv_to_LCHuv",
"LCHuv_to_Luv",
]
[docs]def XYZ_to_Luv(
XYZ: ArrayLike,
illuminant: ArrayLike = CCS_ILLUMINANTS[
"CIE 1931 2 Degree Standard Observer"
]["D65"],
) -> NDArray:
"""
Convert from *CIE XYZ* tristimulus values to *CIE L\\*u\\*v\\**
colourspace.
Parameters
----------
XYZ
*CIE XYZ* tristimulus values.
illuminant
Reference *illuminant* *CIE xy* chromaticity coordinates or *CIE xyY*
colourspace array.
Returns
-------
:class:`numpy.ndarray`
*CIE L\\*u\\*v\\** colourspace array.
Notes
-----
+----------------+-----------------------+-----------------+
| **Domain** | **Scale - Reference** | **Scale - 1** |
+================+=======================+=================+
| ``XYZ`` | [0, 1] | [0, 1] |
+----------------+-----------------------+-----------------+
| ``illuminant`` | [0, 1] | [0, 1] |
+----------------+-----------------------+-----------------+
+----------------+-----------------------+-----------------+
| **Range** | **Scale - Reference** | **Scale - 1** |
+================+=======================+=================+
| ``Luv`` | ``L`` : [0, 100] | ``L`` : [0, 1] |
| | | |
| | ``u`` : [-100, 100] | ``u`` : [-1, 1] |
| | | |
| | ``v`` : [-100, 100] | ``v`` : [-1, 1] |
+----------------+-----------------------+-----------------+
References
----------
:cite:`CIETC1-482004m`, :cite:`Wikipedia2007b`
Examples
--------
>>> import numpy as np
>>> XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
>>> XYZ_to_Luv(XYZ) # doctest: +ELLIPSIS
array([ 41.5278752..., 96.8362605..., 17.7521014...])
"""
X, Y, Z = tsplit(to_domain_1(XYZ))
X_r, Y_r, Z_r = tsplit(xyY_to_XYZ(xy_to_xyY(illuminant)))
with domain_range_scale("100"):
L = lightness_CIE1976(Y, Y_r)
X_Y_Z = X + 15 * Y + 3 * Z
X_r_Y_r_Z_r = X_r + 15 * Y_r + 3 * Z_r
u = 13 * L * ((4 * X / X_Y_Z) - (4 * X_r / X_r_Y_r_Z_r))
v = 13 * L * ((9 * Y / X_Y_Z) - (9 * Y_r / X_r_Y_r_Z_r))
Luv = tstack([L, u, v])
return from_range_100(Luv)
[docs]def Luv_to_XYZ(
Luv: ArrayLike,
illuminant: ArrayLike = CCS_ILLUMINANTS[
"CIE 1931 2 Degree Standard Observer"
]["D65"],
) -> NDArray:
"""
Convert from *CIE L\\*u\\*v\\** colourspace to *CIE XYZ* tristimulus
values.
Parameters
----------
Luv
*CIE L\\*u\\*v\\** colourspace array.
illuminant
Reference *illuminant* *CIE xy* chromaticity coordinates or *CIE xyY*
colourspace array.
Returns
-------
:class:`numpy.ndarray`
*CIE XYZ* tristimulus values.
Notes
-----
+----------------+-----------------------+-----------------+
| **Domain** | **Scale - Reference** | **Scale - 1** |
+================+=======================+=================+
| ``Luv`` | ``L`` : [0, 100] | ``L`` : [0, 1] |
| | | |
| | ``u`` : [-100, 100] | ``u`` : [-1, 1] |
| | | |
| | ``v`` : [-100, 100] | ``v`` : [-1, 1] |
+----------------+-----------------------+-----------------+
| ``illuminant`` | [0, 1] | [0, 1] |
+----------------+-----------------------+-----------------+
+----------------+-----------------------+-----------------+
| **Range** | **Scale - Reference** | **Scale - 1** |
+================+=======================+=================+
| ``XYZ`` | [0, 1] | [0, 1] |
+----------------+-----------------------+-----------------+
References
----------
:cite:`CIETC1-482004m`, :cite:`Wikipedia2007b`
Examples
--------
>>> import numpy as np
>>> Luv = np.array([41.52787529, 96.83626054, 17.75210149])
>>> Luv_to_XYZ(Luv) # doctest: +ELLIPSIS
array([ 0.2065400..., 0.1219722..., 0.0513695...])
"""
L, u, v = tsplit(to_domain_100(Luv))
X_r, Y_r, Z_r = tsplit(xyY_to_XYZ(xy_to_xyY(illuminant)))
with domain_range_scale("100"):
Y = luminance_CIE1976(L, Y_r)
a = (
1
/ 3
* (
(52 * L / (u + 13 * L * (4 * X_r / (X_r + 15 * Y_r + 3 * Z_r))))
- 1
)
)
b = -5 * Y
c = -1 / 3.0
d = Y * (
39 * L / (v + 13 * L * (9 * Y_r / (X_r + 15 * Y_r + 3 * Z_r))) - 5
)
X = (d - b) / (a - c)
Z = X * a + b
XYZ = tstack([X, Y, Z])
return from_range_1(XYZ)
[docs]def Luv_to_uv(
Luv: ArrayLike,
illuminant: ArrayLike = CCS_ILLUMINANTS[
"CIE 1931 2 Degree Standard Observer"
]["D65"],
) -> NDArray:
"""
Return the :math:`uv^p` chromaticity coordinates from given
*CIE L\\*u\\*v\\** colourspace array.
Parameters
----------
Luv
*CIE L\\*u\\*v\\** colourspace array.
illuminant
Reference *illuminant* *CIE xy* chromaticity coordinates or *CIE xyY*
colourspace array.
Returns
-------
:class:`numpy.ndarray`
:math:`uv^p` chromaticity coordinates.
Notes
-----
+----------------+-----------------------+-----------------+
| **Domain** | **Scale - Reference** | **Scale - 1** |
+================+=======================+=================+
| ``Luv`` | ``L`` : [0, 100] | ``L`` : [0, 1] |
| | | |
| | ``u`` : [-100, 100] | ``u`` : [-1, 1] |
| | | |
| | ``v`` : [-100, 100] | ``v`` : [-1, 1] |
+----------------+-----------------------+-----------------+
| ``illuminant`` | [0, 1] | [0, 1] |
+----------------+-----------------------+-----------------+
References
----------
:cite:`CIETC1-482004j`
Examples
--------
>>> import numpy as np
>>> Luv = np.array([41.52787529, 96.83626054, 17.75210149])
>>> Luv_to_uv(Luv) # doctest: +ELLIPSIS
array([ 0.3772021..., 0.5012026...])
"""
Luv = to_domain_100(Luv)
X, Y, Z = tsplit(Luv_to_XYZ(Luv, illuminant))
X_Y_Z = X + 15 * Y + 3 * Z
uv = tstack([4 * X / X_Y_Z, 9 * Y / X_Y_Z])
return uv
[docs]def uv_to_Luv(
uv: ArrayLike,
illuminant: ArrayLike = CCS_ILLUMINANTS[
"CIE 1931 2 Degree Standard Observer"
]["D65"],
Y: Floating = 1,
) -> NDArray:
"""
Return the *CIE L\\*u\\*v\\** colourspace array from given :math:`uv^p`
chromaticity coordinates by extending the array last dimension with given
:math:`L` *Lightness*.
Parameters
----------
uv
:math:`uv^p` chromaticity coordinates.
illuminant
Reference *illuminant* *CIE xy* chromaticity coordinates or *CIE xyY*
colourspace array.
Y
Optional :math:`Y` *luminance* value used to construct the intermediate
*CIE XYZ* colourspace array, the default :math:`Y` *luminance* value is
1.
Returns
-------
:class:`numpy.ndarray`
*CIE L\\*u\\*v\\** colourspace array.
Notes
-----
+----------------+-----------------------+-----------------+
| **Range** | **Scale - Reference** | **Scale - 1** |
+================+=======================+=================+
| ``Luv`` | ``L`` : [0, 100] | ``L`` : [0, 1] |
| | | |
| | ``u`` : [-100, 100] | ``u`` : [-1, 1] |
| | | |
| | ``v`` : [-100, 100] | ``v`` : [-1, 1] |
+----------------+-----------------------+-----------------+
| ``illuminant`` | [0, 1] | [0, 1] |
+----------------+-----------------------+-----------------+
References
----------
:cite:`CIETC1-482004j`
Examples
--------
>>> import numpy as np
>>> uv = np.array([0.37720213, 0.50120264])
>>> uv_to_Luv(uv) # doctest: +ELLIPSIS
array([ 100. , 233.1837603..., 42.7474385...])
"""
u, v = tsplit(uv)
Y = as_float_scalar(to_domain_1(Y))
X = 9 * u / (4 * v)
Z = (-5 * Y * v - 3 * u / 4 + 3) / v
XYZ = tstack([X, full(u.shape, Y), Z])
return XYZ_to_Luv(from_range_1(XYZ), illuminant)
[docs]def Luv_uv_to_xy(uv: ArrayLike) -> NDArray:
"""
Return the *CIE xy* chromaticity coordinates from given *CIE L\\*u\\*v\\**
colourspace :math:`uv^p` chromaticity coordinates.
Parameters
----------
uv
*CIE L\\*u\\*v\\* u"v"* chromaticity coordinates.
Returns
-------
:class:`numpy.ndarray`
*CIE xy* chromaticity coordinates.
References
----------
:cite:`Wikipedia2007d`
Examples
--------
>>> import numpy as np
>>> uv = np.array([0.37720213, 0.50120264])
>>> Luv_uv_to_xy(uv) # doctest: +ELLIPSIS
array([ 0.5436955..., 0.3210794...])
"""
u, v = tsplit(uv)
d = 6 * u - 16 * v + 12
xy = tstack([9 * u / d, 4 * v / d])
return xy
[docs]def xy_to_Luv_uv(xy: ArrayLike) -> NDArray:
"""
Return the *CIE L\\*u\\*v\\** colourspace :math:`uv^p` chromaticity
coordinates from given *CIE xy* chromaticity coordinates.
Parameters
----------
xy
*CIE xy* chromaticity coordinates.
Returns
-------
:class:`numpy.ndarray`
*CIE L\\*u\\*v\\* u"v"* chromaticity coordinates.
References
----------
:cite:`Wikipedia2007b`
Examples
--------
>>> import numpy as np
>>> xy = np.array([0.54369558, 0.32107944])
>>> xy_to_Luv_uv(xy) # doctest: +ELLIPSIS
array([ 0.3772021..., 0.5012026...])
"""
x, y = tsplit(xy)
d = -2 * x + 12 * y + 3
uv = tstack([4 * x / d, 9 * y / d])
return uv
[docs]def Luv_to_LCHuv(Luv: ArrayLike) -> NDArray:
"""
Convert from *CIE L\\*u\\*v\\** colourspace to *CIE L\\*C\\*Huv*
colourspace.
Parameters
----------
Luv
*CIE L\\*u\\*v\\** colourspace array.
Returns
-------
:class:`numpy.ndarray`
*CIE L\\*C\\*Huv* colourspace array.
Notes
-----
+------------+-----------------------+-----------------+
| **Domain** | **Scale - Reference** | **Scale - 1** |
+============+=======================+=================+
| ``Luv`` | ``L`` : [0, 100] | ``L`` : [0, 1] |
| | | |
| | ``u`` : [-100, 100] | ``u`` : [-1, 1] |
| | | |
| | ``v`` : [-100, 100] | ``v`` : [-1, 1] |
+------------+-----------------------+-----------------+
+------------+-----------------------+------------------+
| **Range** | **Scale - Reference** | **Scale - 1** |
+============+=======================+==================+
| ``LCHuv`` | ``L`` : [0, 100] | ``L`` : [0, 1] |
| | | |
| | ``C`` : [0, 100] | ``C`` : [0, 1] |
| | | |
| | ``Huv`` : [0, 360] | ``Huv`` : [0, 1] |
+------------+-----------------------+------------------+
References
----------
:cite:`CIETC1-482004m`
Examples
--------
>>> import numpy as np
>>> Luv = np.array([41.52787529, 96.83626054, 17.75210149])
>>> Luv_to_LCHuv(Luv) # doctest: +ELLIPSIS
array([ 41.5278752..., 98.4499795..., 10.3881634...])
"""
return Jab_to_JCh(Luv)
[docs]def LCHuv_to_Luv(LCHuv: ArrayLike) -> NDArray:
"""
Convert from *CIE L\\*C\\*Huv* colourspace to *CIE L\\*u\\*v\\**
colourspace.
Parameters
----------
LCHuv
*CIE L\\*C\\*Huv* colourspace array.
Returns
-------
:class:`numpy.ndarray`
*CIE L\\*u\\*v\\** colourspace array.
Notes
-----
+------------+-----------------------+------------------+
| **Domain** | **Scale - Reference** | **Scale - 1** |
+============+=======================+==================+
| ``LCHuv`` | ``L`` : [0, 100] | ``L`` : [0, 1] |
| | | |
| | ``C`` : [0, 100] | ``C`` : [0, 1] |
| | | |
| | ``Huv`` : [0, 360] | ``Huv`` : [0, 1] |
+------------+-----------------------+------------------+
+------------+-----------------------+-----------------+
| **Range** | **Scale - Reference** | **Scale - 1** |
+============+=======================+=================+
| ``Luv`` | ``L`` : [0, 100] | ``L`` : [0, 1] |
| | | |
| | ``u`` : [-100, 100] | ``u`` : [-1, 1] |
| | | |
| | ``v`` : [-100, 100] | ``v`` : [-1, 1] |
+------------+-----------------------+-----------------+
References
----------
:cite:`CIETC1-482004m`
Examples
--------
>>> import numpy as np
>>> LCHuv = np.array([41.52787529, 98.44997950, 10.38816348])
>>> LCHuv_to_Luv(LCHuv) # doctest: +ELLIPSIS
array([ 41.5278752..., 96.8362605..., 17.7521014...])
"""
return JCh_to_Jab(LCHuv)