# -*- coding: utf-8 -*-
"""
RLAB Colour Appearance Model
============================
Defines *RLAB* colour appearance model objects:
- :attr:`colour.VIEWING_CONDITIONS_RLAB`
- :attr:`colour.D_FACTOR_RLAB`
- :class:`colour.CAM_Specification_RLAB`
- :func:`colour.XYZ_to_RLAB`
References
----------
- :cite:`Fairchild1996a` : Fairchild, M. D. (1996). Refinement of the RLAB
color space. Color Research & Application, 21(5), 338-346.
doi:10.1002/(SICI)1520-6378(199610)21:5<338::AID-COL3>3.0.CO;2-Z
- :cite:`Fairchild2013w` : Fairchild, M. D. (2013). The RLAB Model. In Color
Appearance Models (3rd ed., pp. 5563-5824). Wiley. ISBN:B00DAYO8E2
"""
from __future__ import division, unicode_literals
import numpy as np
from collections import namedtuple
from colour.algebra import spow
from colour.appearance.hunt import MATRIX_XYZ_TO_HPE, XYZ_to_rgb
from colour.utilities import (CaseInsensitiveMapping, as_float_array,
matrix_dot, vector_dot, from_range_degrees,
to_domain_100, tsplit, row_as_diagonal)
__author__ = 'Colour Developers'
__copyright__ = 'Copyright (C) 2013-2020 - 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__ = [
'MATRIX_R', 'VIEWING_CONDITIONS_RLAB', 'D_FACTOR_RLAB',
'CAM_ReferenceSpecification_RLAB', 'CAM_Specification_RLAB', 'XYZ_to_RLAB'
]
MATRIX_R = np.array([
[1.9569, -1.1882, 0.2313],
[0.3612, 0.6388, 0.0000],
[0.0000, 0.0000, 1.0000],
])
"""
*RLAB* colour appearance model precomputed helper matrix.
MATRIX_R : array_like, (3, 3)
"""
VIEWING_CONDITIONS_RLAB = CaseInsensitiveMapping({
'Average': 1 / 2.3,
'Dim': 1 / 2.9,
'Dark': 1 / 3.5
})
VIEWING_CONDITIONS_RLAB.__doc__ = """
Reference *RLAB* colour appearance model viewing conditions.
References
----------
:cite:`Fairchild1996a`, :cite:`Fairchild2013w`
VIEWING_CONDITIONS_RLAB : CaseInsensitiveMapping
**{'Average', 'Dim', 'Dark'}**
"""
D_FACTOR_RLAB = CaseInsensitiveMapping({
'Hard Copy Images': 1,
'Soft Copy Images': 0,
'Projected Transparencies, Dark Room': 0.5
})
D_FACTOR_RLAB.__doc__ = """
*RLAB* colour appearance model *Discounting-the-Illuminant* factor values.
References
----------
:cite:`Fairchild1996a`, :cite:`Fairchild2013w`
D_FACTOR_RLAB : CaseInsensitiveMapping
**{'Hard Copy Images',
'Soft Copy Images',
'Projected Transparencies, Dark Room'}**
Aliases:
- 'hard_cp_img': 'Hard Copy Images'
- 'soft_cp_img': 'Soft Copy Images'
- 'projected_dark': 'Projected Transparencies, Dark Room'
"""
D_FACTOR_RLAB['hard_cp_img'] = D_FACTOR_RLAB['Hard Copy Images']
D_FACTOR_RLAB['soft_cp_img'] = D_FACTOR_RLAB['Soft Copy Images']
D_FACTOR_RLAB['projected_dark'] = (
D_FACTOR_RLAB['Projected Transparencies, Dark Room'])
class CAM_ReferenceSpecification_RLAB(
namedtuple('CAM_ReferenceSpecification_RLAB',
('LR', 'CR', 'hR', 'sR', 'HR', 'aR', 'bR'))):
"""
Defines the *RLAB* colour appearance model reference specification.
This specification has field names consistent with *Fairchild (2013)*
reference.
Parameters
----------
LR : numeric or array_like
Correlate of *Lightness* :math:`L^R`.
CR : numeric or array_like
Correlate of *achromatic chroma* :math:`C^R`.
hR : numeric or array_like
*Hue* angle :math:`h^R` in degrees.
sR : numeric or array_like
Correlate of *saturation* :math:`s^R`.
HR : numeric or array_like
*Hue* :math:`h` composition :math:`H^R`.
aR : numeric or array_like
Red-green chromatic response :math:`a^R`.
bR : numeric or array_like
Yellow-blue chromatic response :math:`b^R`.
References
----------
:cite:`Fairchild1996a`, :cite:`Fairchild2013w`
"""
[docs]class CAM_Specification_RLAB(
namedtuple('CAM_Specification_RLAB',
('J', 'C', 'h', 's', 'HC', 'a', 'b'))):
"""
Defines the *RLAB* colour appearance model specification.
This specification has field names consistent with the remaining colour
appearance models in :mod:`colour.appearance` but diverge from
*Fairchild (2013)* reference.
Parameters
----------
J : numeric or array_like
Correlate of *Lightness* :math:`L^R`.
C : numeric or array_like
Correlate of *achromatic chroma* :math:`C^R`.
h : numeric or array_like
*Hue* angle :math:`h^R` in degrees.
s : numeric or array_like
Correlate of *saturation* :math:`s^R`.
HC : numeric or array_like
*Hue* :math:`h` composition :math:`H^C`.
a : numeric or array_like
Red-green chromatic response :math:`a^R`.
b : numeric or array_like
Yellow-blue chromatic response :math:`b^R`.
Notes
-----
- This specification is the one used in the current model implementation.
References
----------
:cite:`Fairchild1996a`, :cite:`Fairchild2013w`
"""
[docs]def XYZ_to_RLAB(XYZ,
XYZ_n,
Y_n,
sigma=VIEWING_CONDITIONS_RLAB['Average'],
D=D_FACTOR_RLAB['Hard Copy Images']):
"""
Computes the *RLAB* model color appearance correlates.
Parameters
----------
XYZ : array_like
*CIE XYZ* tristimulus values of test sample / stimulus.
XYZ_n : array_like
*CIE XYZ* tristimulus values of reference white.
Y_n : numeric or array_like
Absolute adapting luminance in :math:`cd/m^2`.
sigma : numeric or array_like, optional
Relative luminance of the surround, see
:attr:`colour.VIEWING_CONDITIONS_RLAB` for reference.
D : numeric or array_like, optional
*Discounting-the-Illuminant* factor normalised to domain [0, 1].
Returns
-------
CAM_Specification_RLAB
*RLAB* colour appearance model specification.
Notes
-----
+--------------------------+-----------------------+---------------+
| **Domain** | **Scale - Reference** | **Scale - 1** |
+==========================+=======================+===============+
| ``XYZ`` | [0, 100] | [0, 1] |
+--------------------------+-----------------------+---------------+
| ``XYZ_n`` | [0, 100] | [0, 1] |
+--------------------------+-----------------------+---------------+
+------------------------------+-----------------------\
+---------------+
| **Range** | **Scale - Reference** \
| **Scale - 1** |
+==============================+=======================\
+===============+
| ``CAM_Specification_RLAB.h`` | [0, 360] \
| [0, 1] |
+------------------------------+-----------------------\
+---------------+
References
----------
:cite:`Fairchild1996a`, :cite:`Fairchild2013w`
Examples
--------
>>> XYZ = np.array([19.01, 20.00, 21.78])
>>> XYZ_n = np.array([109.85, 100, 35.58])
>>> Y_n = 31.83
>>> sigma = VIEWING_CONDITIONS_RLAB['Average']
>>> D = D_FACTOR_RLAB['Hard Copy Images']
>>> XYZ_to_RLAB(XYZ, XYZ_n, Y_n, sigma, D) # doctest: +ELLIPSIS
CAM_Specification_RLAB(J=49.8347069..., C=54.8700585..., \
h=286.4860208..., s=1.1010410..., HC=None, a=15.5711021..., b=-52.6142956...)
"""
XYZ = to_domain_100(XYZ)
XYZ_n = to_domain_100(XYZ_n)
Y_n = as_float_array(Y_n)
D = as_float_array(D)
sigma = as_float_array(sigma)
# Converting to cone responses.
LMS_n = XYZ_to_rgb(XYZ_n)
# Computing the :math:`A` matrix.
LMS_l_E = (3 * LMS_n) / (LMS_n[0] + LMS_n[1] + LMS_n[2])
LMS_p_L = ((1 + spow(Y_n[..., np.newaxis], 1 / 3) + LMS_l_E) /
(1 + spow(Y_n[..., np.newaxis], 1 / 3) + (1 / LMS_l_E)))
LMS_a_L = (LMS_p_L + D[..., np.newaxis] * (1 - LMS_p_L)) / LMS_n
aR = row_as_diagonal(LMS_a_L)
M = matrix_dot(matrix_dot(MATRIX_R, aR), MATRIX_XYZ_TO_HPE)
XYZ_ref = vector_dot(M, XYZ)
X_ref, Y_ref, Z_ref = tsplit(XYZ_ref)
# Computing the correlate of *Lightness* :math:`L^R`.
LR = 100 * spow(Y_ref, sigma)
# Computing opponent colour dimensions :math:`a^R` and :math:`b^R`.
aR = 430 * (spow(X_ref, sigma) - spow(Y_ref, sigma))
bR = 170 * (spow(Y_ref, sigma) - spow(Z_ref, sigma))
# Computing the *hue* angle :math:`h^R`.
hR = np.degrees(np.arctan2(bR, aR)) % 360
# TODO: Implement hue composition computation.
# Computing the correlate of *chroma* :math:`C^R`.
CR = np.hypot(aR, bR)
# Computing the correlate of *saturation* :math:`s^R`.
sR = CR / LR
return CAM_Specification_RLAB(LR, CR, from_range_degrees(hR), sR, None, aR,
bR)