def test_normalised_primary_matrix(self):
"""
Tests
:func:`colour.models.rgb.derivation.normalised_primary_matrix`
definition.
"""
np.testing.assert_almost_equal(
normalised_primary_matrix(
np.array([0.73470, 0.26530,
0.00000, 1.00000,
0.00010, -0.07700]),
(0.32168, 0.33767)),
np.array(
[9.52552396e-01, 0.00000000e+00, 9.36786317e-05,
3.43966450e-01, 7.28166097e-01, -7.21325464e-02,
0.00000000e+00, 0.00000000e+00, 1.00882518e+00]
).reshape((3, 3)),
decimal=7)
np.testing.assert_almost_equal(
normalised_primary_matrix(
np.array([0.640, 0.330,
0.300, 0.600,
0.150, 0.060]),
(0.3127, 0.3290)),
np.array([0.4123908, 0.35758434, 0.18048079,
0.21263901, 0.71516868, 0.07219232,
0.01933082, 0.11919478, 0.95053215]).reshape((3, 3)),
decimal=7)
def test_normalised_primary_matrix(self):
"""
Tests :func:`colour.models.rgb.derivation.normalised_primary_matrix`
definition.
"""
np.testing.assert_almost_equal(
normalised_primary_matrix(
np.array(
[0.73470, 0.26530, 0.00000, 1.00000, 0.00010, -0.07700]),
np.array([0.32168, 0.33767])),
np.array([
[0.95255240, 0.00000000, 0.00009368],
[0.34396645, 0.72816610, -0.07213255],
[0.00000000, 0.00000000, 1.00882518],
]),
decimal=7)
np.testing.assert_almost_equal(
normalised_primary_matrix(
np.array([0.640, 0.330, 0.300, 0.600, 0.150, 0.060]),
np.array([0.3127, 0.3290])),
np.array([
[0.41239080, 0.35758434, 0.18048079],
[0.21263901, 0.71516868, 0.07219232],
[0.01933082, 0.11919478, 0.95053215],
]),
decimal=7)
def test_normalised_primary_matrix(self):
"""
Tests :func:`colour.models.rgb.derivation.normalised_primary_matrix`
definition.
"""
np.testing.assert_almost_equal(
normalised_primary_matrix(
np.array(
[0.73470, 0.26530, 0.00000, 1.00000, 0.00010, -0.07700]),
np.array([0.32168, 0.33767])),
np.array([
[0.95255240, 0.00000000, 0.00009368],
[0.34396645, 0.72816610, -0.07213255],
[0.00000000, 0.00000000, 1.00882518],
]),
decimal=7)
np.testing.assert_almost_equal(
normalised_primary_matrix(
np.array([0.640, 0.330, 0.300, 0.600, 0.150, 0.060]),
np.array([0.3127, 0.3290])),
np.array([
[0.41239080, 0.35758434, 0.18048079],
[0.21263901, 0.71516868, 0.07219232],
[0.01933082, 0.11919478, 0.95053215],
]),
decimal=7)
def test_chromatically_adapt(self):
"""
Test :func:`colour.models.rgb.rgb_colourspace.RGB_Colourspace.\
chromatically_adapt` method.
"""
whitepoint_t = np.array([0.31270, 0.32900])
colourspace = self._colourspace.chromatically_adapt(
whitepoint_t, "D50", "Bradford")
np.testing.assert_array_almost_equal(
colourspace.primaries,
np.array([
[0.73485524, 0.26422533],
[-0.00617091, 1.01131496],
[0.01596756, -0.06423550],
]),
decimal=7,
)
np.testing.assert_array_almost_equal(colourspace.whitepoint,
whitepoint_t,
decimal=7)
self.assertEqual(colourspace.whitepoint_name, "D50")
np.testing.assert_array_almost_equal(
colourspace.primaries,
chromatically_adapted_primaries(
self._colourspace.primaries,
self._colourspace.whitepoint,
whitepoint_t,
"Bradford",
),
decimal=7,
)
np.testing.assert_array_almost_equal(
colourspace.matrix_RGB_to_XYZ,
normalised_primary_matrix(colourspace.primaries,
colourspace.whitepoint),
decimal=7,
)
np.testing.assert_array_almost_equal(
colourspace.matrix_XYZ_to_RGB,
np.linalg.inv(
normalised_primary_matrix(colourspace.primaries,
colourspace.whitepoint)),
decimal=7,
)
def test_nan_normalised_primary_matrix(self):
"""
Tests :func:`colour.models.rgb.derivation.normalised_primary_matrix`
definition nan support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = set(permutations(cases * 3, r=2))
for case in cases:
P = np.array(np.vstack([case, case, case]))
W = np.array(case)
try:
normalised_primary_matrix(P, W)
except np.linalg.linalg.LinAlgError:
pass
def test_nan_normalised_primary_matrix(self):
"""
Tests :func:`colour.models.rgb.derivation.normalised_primary_matrix`
definition nan support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = set(permutations(cases * 3, r=2))
for case in cases:
P = np.array(np.vstack([case, case, case]))
W = np.array(case)
try:
normalised_primary_matrix(P, W)
except np.linalg.linalg.LinAlgError:
pass
def test_transformation_matrices(self):
"""
Tests the transformations matrices from the
:attr:`colour.models.rgb.rgb_colourspace.RGB_COLOURSPACES` attribute
colourspace models.
"""
XYZ_r = np.array([0.5, 0.5, 0.5]).reshape((3, 1))
for colourspace in RGB_COLOURSPACES.values():
if colourspace.name in (
'ProPhoto RGB', 'ERIMM RGB', 'RIMM RGB', 'ROMM RGB'):
tolerance = 1e-3
elif colourspace.name in ('sRGB',):
tolerance = 1e-4
elif colourspace.name in ('Adobe RGB (1998)',):
tolerance = 1e-5
elif colourspace.name in ('ALEXA Wide Gamut RGB', 'V-Gamut'):
tolerance = 1e-6
else:
tolerance = 1e-7
M = normalised_primary_matrix(colourspace.primaries,
colourspace.whitepoint)
np.testing.assert_allclose(colourspace.RGB_to_XYZ_matrix,
M,
rtol=tolerance,
atol=tolerance,
verbose=False)
RGB = np.dot(colourspace.XYZ_to_RGB_matrix, XYZ_r)
XYZ = np.dot(colourspace.RGB_to_XYZ_matrix, RGB)
np.testing.assert_almost_equal(XYZ_r, XYZ, decimal=7)
def test_nan_normalised_primary_matrix(self):
"""
Tests :func:`colour.models.rgb.derivation.normalised_primary_matrix`
definition nan support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = set(permutations(cases * 3, r=2))
for case in cases:
P = np.array(np.vstack((case, case, case)))
W = np.array(case)
try:
normalised_primary_matrix(P, W)
except np.linalg.linalg.LinAlgError:
import traceback
from colour.utilities import warning
warning(traceback.format_exc())
def test_nan_normalised_primary_matrix(self):
"""
Tests :func:`colour.models.rgb.derivation.normalised_primary_matrix`
definition nan support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = set(permutations(cases * 3, r=2))
for case in cases:
P = np.array(np.vstack((case, case, case)))
W = np.array(case)
try:
normalised_primary_matrix(P, W)
except np.linalg.linalg.LinAlgError:
import traceback
from colour.utilities import warning
warning(traceback.format_exc())
def test_chromatically_adapt(self):
"""
Tests :func:`colour.models.rgb.rgb_colourspace.RGB_Colourspace.\
chromatically_adapt` method.
"""
whitepoint_t = np.array([0.31270, 0.32900])
colourspace = self._colourspace.chromatically_adapt(
whitepoint_t, 'D50', 'Bradford')
np.testing.assert_array_almost_equal(
colourspace.primaries,
np.array([
[0.73485524, 0.26422533],
[-0.00617091, 1.01131496],
[0.01596756, -0.06423550],
]),
decimal=7)
np.testing.assert_array_almost_equal(
colourspace.whitepoint, whitepoint_t, decimal=7)
self.assertEqual(colourspace.whitepoint_name, 'D50')
np.testing.assert_array_almost_equal(
colourspace.primaries,
chromatically_adapted_primaries(self._colourspace.primaries,
self._colourspace.whitepoint,
whitepoint_t, 'Bradford'),
decimal=7)
np.testing.assert_array_almost_equal(
colourspace.RGB_to_XYZ_matrix,
normalised_primary_matrix(colourspace.primaries,
colourspace.whitepoint),
decimal=7)
np.testing.assert_array_almost_equal(
colourspace.XYZ_to_RGB_matrix,
np.linalg.inv(
normalised_primary_matrix(colourspace.primaries,
colourspace.whitepoint)),
decimal=7)
def test_transformation_matrices(self):
"""
Tests the transformations matrices from the
:attr:`colour.models.RGB_COLOURSPACES` attribute colourspace models.
"""
XYZ_r = np.array([0.5, 0.5, 0.5]).reshape((3, 1))
for colourspace in RGB_COLOURSPACES.values():
M = normalised_primary_matrix(colourspace.primaries, colourspace.whitepoint)
np.testing.assert_allclose(colourspace.RGB_to_XYZ_matrix, M, rtol=0.0001, atol=0.0001, verbose=False)
RGB = np.dot(colourspace.XYZ_to_RGB_matrix, XYZ_r)
XYZ = np.dot(colourspace.RGB_to_XYZ_matrix, RGB)
np.testing.assert_almost_equal(XYZ_r, XYZ, decimal=7)
def test_transformation_matrices(self):
"""
Test the transformations matrices from the
:attr:`colour.models.rgb.datasets.RGB_COLOURSPACES` attribute
colourspace models.
"""
tolerances = {
"Adobe RGB (1998)": 1e-5,
"ALEXA Wide Gamut": 1e-6,
"DJI D-Gamut": 1e-4,
"ERIMM RGB": 1e-3,
"ProPhoto RGB": 1e-3,
"REDWideGamutRGB": 1e-6,
"RIMM RGB": 1e-3,
"ROMM RGB": 1e-3,
"sRGB": 1e-4,
"V-Gamut": 1e-6,
}
XYZ_r = np.array([0.5, 0.5, 0.5]).reshape([3, 1])
for colourspace in RGB_COLOURSPACES.values():
M = normalised_primary_matrix(colourspace.primaries,
colourspace.whitepoint)
tolerance = tolerances.get(colourspace.name, 1e-7)
np.testing.assert_allclose(
colourspace.matrix_RGB_to_XYZ,
M,
rtol=tolerance,
atol=tolerance,
verbose=False,
)
RGB = np.dot(colourspace.matrix_XYZ_to_RGB, XYZ_r)
XYZ = np.dot(colourspace.matrix_RGB_to_XYZ, RGB)
np.testing.assert_allclose(XYZ_r,
XYZ,
rtol=tolerance,
atol=tolerance,
verbose=False)
# Derived transformation matrices.
colourspace = deepcopy(colourspace)
colourspace.use_derived_transformation_matrices(True)
RGB = np.dot(colourspace.matrix_XYZ_to_RGB, XYZ_r)
XYZ = np.dot(colourspace.matrix_RGB_to_XYZ, RGB)
np.testing.assert_almost_equal(XYZ_r, XYZ, decimal=7)
def test_transformation_matrices(self):
"""
Tests the transformations matrices from the
:attr:`colour.models.RGB_COLOURSPACES` attribute colourspace models.
"""
XYZ_r = np.array([0.5, 0.5, 0.5]).reshape((3, 1))
for colourspace in RGB_COLOURSPACES.values():
M = normalised_primary_matrix(colourspace.primaries,
colourspace.whitepoint)
np.testing.assert_allclose(colourspace.RGB_to_XYZ_matrix,
M,
rtol=0.0001,
atol=0.0001,
verbose=False)
RGB = np.dot(colourspace.XYZ_to_RGB_matrix, XYZ_r)
XYZ = np.dot(colourspace.RGB_to_XYZ_matrix, RGB)
np.testing.assert_almost_equal(XYZ_r, XYZ, decimal=7)
Notes
-----
*CIE Illuminant D Series* *D63* illuminant is used for *DCI-P3* whitepoint at
48 :math:`cd/m^2`.
"""
DCI_P3_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get(DCI_P3_ILLUMINANT)
"""
*DCI-P3* colourspace whitepoint.
DCI_P3_WHITEPOINT : tuple
"""
DCI_P3_TO_XYZ_MATRIX = normalised_primary_matrix(
DCI_P3_PRIMARIES,
DCI_P3_WHITEPOINT)
"""
*DCI-P3* colourspace to *CIE XYZ* tristimulus values matrix.
DCI_P3_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_DCI_P3_MATRIX = np.linalg.inv(DCI_P3_TO_XYZ_MATRIX)
"""
*CIE XYZ* tristimulus values to *DCI-P3* colourspace matrix.
XYZ_TO_DCI_P3_MATRIX : array_like, (3, 3)
"""
DCI_P3_P_TO_XYZ_MATRIX = normalised_primary_matrix(
SMPTE_C_RGB_ILLUMINANT = 'D65'
"""
*SMPTE-C RGB* colourspace whitepoint name as illuminant.
SMPTE_C_RGB_ILLUMINANT : unicode
"""
SMPTE_C_RGB_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get(SMPTE_C_RGB_ILLUMINANT)
"""
*SMPTE-C RGB* colourspace whitepoint.
SMPTE_C_RGB_WHITEPOINT : tuple
"""
SMPTE_C_RGB_TO_XYZ_MATRIX = normalised_primary_matrix(
SMPTE_C_RGB_PRIMARIES, SMPTE_C_RGB_WHITEPOINT)
"""
*SMPTE-C RGB* colourspace to *CIE XYZ* colourspace matrix.
SMPTE_C_RGB_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_SMPTE_C_RGB_MATRIX = np.linalg.inv(SMPTE_C_RGB_TO_XYZ_MATRIX)
"""
*CIE XYZ* colourspace to *SMPTE-C RGB* colourspace matrix.
XYZ_TO_SMPTE_C_RGB_MATRIX : array_like, (3, 3)
"""
def _smpte_c_rgb_transfer_function(value):
[0.1550, 0.0700]])
"""
*Apple RGB* colourspace primaries.
APPLE_RGB_PRIMARIES : ndarray, (3, 2)
"""
APPLE_RGB_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get('D65')
"""
*Apple RGB* colourspace whitepoint.
APPLE_RGB_WHITEPOINT : tuple
"""
APPLE_RGB_TO_XYZ_MATRIX = normalised_primary_matrix(APPLE_RGB_PRIMARIES,
APPLE_RGB_WHITEPOINT)
"""
*Apple RGB* colourspace to *CIE XYZ* colourspace matrix.
APPLE_RGB_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_APPLE_RGB_MATRIX = np.linalg.inv(APPLE_RGB_TO_XYZ_MATRIX)
"""
*CIE XYZ* colourspace to *Apple RGB* colourspace matrix.
XYZ_TO_APPLE_RGB_MATRIX : array_like, (3, 3)
"""
APPLE_RGB_TRANSFER_FUNCTION = lambda x: x**(1 / 1.8)
"""
EKTA_SPACE_PS_5_V_ILLUMINANT = 'D50'
"""
*Ekta Space PS 5* colourspace whitepoint name as illuminant.
EKTA_SPACE_PS_5_V_ILLUMINANT : unicode
"""
EKTA_SPACE_PS_5_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get(EKTA_SPACE_PS_5_V_ILLUMINANT)
"""
*Ekta Space PS 5* colourspace whitepoint.
EKTA_SPACE_PS_5_WHITEPOINT : tuple
"""
EKTA_SPACE_PS_5_TO_XYZ_MATRIX = normalised_primary_matrix(
EKTA_SPACE_PS_5_PRIMARIES, EKTA_SPACE_PS_5_WHITEPOINT)
"""
*Ekta Space PS 5* colourspace to *CIE XYZ* tristimulus values matrix.
EKTA_SPACE_PS_5_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_EKTA_SPACE_PS_5_MATRIX = np.linalg.inv(EKTA_SPACE_PS_5_TO_XYZ_MATRIX)
"""
*CIE XYZ* tristimulus values to *Ekta Space PS 5* colourspace matrix.
XYZ_TO_EKTA_SPACE_PS_5_MATRIX : array_like, (3, 3)
"""
def _ekta_space_ps_5_OECF(value):
XTREME_RGB_ILLUMINANT = 'D50'
"""
*Xtreme RGB* colourspace whitepoint name as illuminant.
XTREME_RGB_WHITEPOINT : unicode
"""
XTREME_RGB_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get(XTREME_RGB_ILLUMINANT)
"""
*Xtreme RGB* colourspace whitepoint.
XTREME_RGB_WHITEPOINT : tuple
"""
XTREME_RGB_TO_XYZ_MATRIX = normalised_primary_matrix(XTREME_RGB_PRIMARIES,
XTREME_RGB_WHITEPOINT)
"""
*Xtreme RGB* colourspace to *CIE XYZ* tristimulus values matrix.
XTREME_RGB_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_XTREME_RGB_MATRIX = np.linalg.inv(XTREME_RGB_TO_XYZ_MATRIX)
"""
*CIE XYZ* tristimulus values to *Xtreme RGB* colourspace matrix.
XYZ_TO_XTREME_RGB_MATRIX : array_like, (3, 3)
"""
def _xtreme_rgb_OECF(value):
[3.43966450e-01, 7.28166097e-01, -7.21325464e-02],
[0.00000000e+00, 0.00000000e+00, 1.00882518e+00]])
"""
*ACES Primaries 0* to *CIE XYZ* tristimulus values matrix.
AP0_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_AP0_MATRIX = np.linalg.inv(AP0_TO_XYZ_MATRIX)
"""
*CIE XYZ* tristimulus values to *ACES Primaries 0* matrix.
XYZ_TO_AP0_MATRIX : array_like, (3, 3)
"""
AP1_TO_XYZ_MATRIX = normalised_primary_matrix(AP1, ACES_WHITEPOINT)
"""
*ACES Primaries 1* to *CIE XYZ* tristimulus values matrix.
AP1_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_AP1_MATRIX = np.linalg.inv(AP1_TO_XYZ_MATRIX)
"""
*CIE XYZ* tristimulus values to *ACES Primaries 1* matrix.
XYZ_TO_AP1_MATRIX : array_like, (3, 3)
"""
def _aces_2065_1_OECF(value):
[0, 0]])
"""
*Xtreme RGB* colourspace primaries.
XTREME_RGB_PRIMARIES : ndarray, (3, 2)
"""
XTREME_RGB_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get('D50')
"""
*Xtreme RGB* colourspace whitepoint.
XTREME_RGB_WHITEPOINT : tuple
"""
XTREME_RGB_TO_XYZ_MATRIX = normalised_primary_matrix(XTREME_RGB_PRIMARIES,
XTREME_RGB_WHITEPOINT)
"""
*Xtreme RGB* colourspace to *CIE XYZ* colourspace matrix.
XTREME_RGB_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_XTREME_RGB_MATRIX = np.linalg.inv(XTREME_RGB_TO_XYZ_MATRIX)
"""
*CIE XYZ* colourspace to *Xtreme RGB* colourspace matrix.
XYZ_TO_XTREME_RGB_MATRIX : array_like, (3, 3)
"""
XTREME_RGB_TRANSFER_FUNCTION = lambda x: x ** (1 / 2.2)
"""
S_GAMUT_ILLUMINANT = 'D65'
"""
*S-Gamut* colourspace whitepoint name as illuminant.
S_GAMUT_ILLUMINANT : unicode
"""
S_GAMUT_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get(S_GAMUT_ILLUMINANT)
"""
*S-Gamut* colourspace whitepoint.
S_GAMUT_WHITEPOINT : tuple
"""
S_GAMUT_TO_XYZ_MATRIX = normalised_primary_matrix(S_GAMUT_PRIMARIES,
S_GAMUT_WHITEPOINT)
"""
*S-Gamut* colourspace to *CIE XYZ* colourspace matrix.
S_GAMUT_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_S_GAMUT_MATRIX = np.linalg.inv(S_GAMUT_TO_XYZ_MATRIX)
"""
*CIE XYZ* colourspace to *S-Gamut* colourspace matrix.
XYZ_TO_S_GAMUT_MATRIX : array_like, (3, 3)
"""
def _s_log_transfer_function(value):
REC_2020_ILLUMINANT = 'D65'
"""
*Rec. 2020* colourspace whitepoint name as illuminant.
REC_2020_ILLUMINANT : unicode
"""
REC_2020_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get(REC_2020_ILLUMINANT)
"""
*Rec. 2020* colourspace whitepoint.
REC_2020_WHITEPOINT : tuple
"""
REC_2020_TO_XYZ_MATRIX = normalised_primary_matrix(REC_2020_PRIMARIES,
REC_2020_WHITEPOINT)
"""
*Rec. 2020* colourspace to *CIE XYZ* tristimulus values matrix.
REC_2020_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_REC_2020_MATRIX = np.linalg.inv(REC_2020_TO_XYZ_MATRIX)
"""
*CIE XYZ* tristimulus values to *Rec. 2020* colourspace matrix.
XYZ_TO_REC_2020_MATRIX : array_like, (3, 3)
"""
REC_2020_CONSTANTS = Structure(alpha=lambda x: 1.099 if x else 1.0993,
beta=lambda x: 0.018 if x else 0.0181)
"CCS_WHITEPOINT_SMITS1999",
"MATRIX_XYZ_TO_RGB_SMITS1999",
"XYZ_to_RGB_Smits1999",
"RGB_to_sd_Smits1999",
]
PRIMARIES_SMITS1999: NDArray = RGB_COLOURSPACE_sRGB.primaries
"""Current *Smits (1999)* method implementation colourspace primaries."""
CCS_WHITEPOINT_SMITS1999: NDArray = CCS_ILLUMINANTS[
"CIE 1931 2 Degree Standard Observer"
]["E"]
"""Current *Smits (1999)* method implementation colourspace whitepoint."""
MATRIX_XYZ_TO_RGB_SMITS1999: NDArray = np.linalg.inv(
normalised_primary_matrix(PRIMARIES_SMITS1999, CCS_WHITEPOINT_SMITS1999)
)
"""
Current *Smits (1999)* method implementation *RGB* colourspace to
*CIE XYZ* tristimulus values matrix.
"""
def XYZ_to_RGB_Smits1999(XYZ: ArrayLike) -> NDArray:
"""
Convert from *CIE XYZ* tristimulus values to *RGB* colourspace with
conditions required by the current *Smits (1999)* method implementation.
Parameters
----------
XYZ
RED_COLOR_ILLUMINANT = 'D65'
"""
*REDcolor* colourspace whitepoint name as illuminant.
RED_COLOR_ILLUMINANT : unicode
"""
RED_COLOR_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get(RED_COLOR_ILLUMINANT)
"""
*REDcolor* colourspace whitepoint.
RED_COLOR_WHITEPOINT : tuple
"""
RED_COLOR_TO_XYZ_MATRIX = normalised_primary_matrix(
RED_COLOR_PRIMARIES, RED_COLOR_WHITEPOINT)
"""
*REDcolor* colourspace to *CIE XYZ* tristimulus values matrix.
RED_COLOR_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_RED_COLOR_MATRIX = np.linalg.inv(RED_COLOR_TO_XYZ_MATRIX)
"""
*CIE XYZ* tristimulus values to *REDcolor* colourspace matrix.
XYZ_TO_RED_COLOR_MATRIX : array_like, (3, 3)
"""
def _linear_to_red_log_film(
CINEMA_GAMUT_ILLUMINANT = 'D65'
"""
*Cinema Gamut* colourspace whitepoint name as illuminant.
CINEMA_GAMUT_ILLUMINANT : unicode
"""
CINEMA_GAMUT_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get(CINEMA_GAMUT_ILLUMINANT)
"""
*Cinema Gamut* colourspace whitepoint.
CINEMA_GAMUT_WHITEPOINT : tuple
"""
CINEMA_GAMUT_TO_XYZ_MATRIX = normalised_primary_matrix(CINEMA_GAMUT_PRIMARIES,
CINEMA_GAMUT_WHITEPOINT)
"""
*Cinema Gamut* colourspace to *CIE XYZ* tristimulus values matrix.
CINEMA_GAMUT_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_CINEMA_GAMUT_MATRIX = np.linalg.inv(CINEMA_GAMUT_TO_XYZ_MATRIX)
"""
*CIE XYZ* tristimulus values to *Cinema Gamut* colourspace matrix.
XYZ_TO_CINEMA_GAMUT_MATRIX : array_like, (3, 3)
"""
def _cinema_gamut_OECF(value):
RED_COLOR_ILLUMINANT = 'D60'
"""
*REDcolor* colourspace whitepoint name as illuminant.
RED_COLOR_ILLUMINANT : unicode
"""
RED_COLOR_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get(RED_COLOR_ILLUMINANT)
"""
*REDcolor* colourspace whitepoint.
RED_COLOR_WHITEPOINT : tuple
"""
RED_COLOR_TO_XYZ_MATRIX = normalised_primary_matrix(
RED_COLOR_PRIMARIES, RED_COLOR_WHITEPOINT)
"""
*REDcolor* colourspace to *CIE XYZ* tristimulus values matrix.
RED_COLOR_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_RED_COLOR_MATRIX = np.linalg.inv(RED_COLOR_TO_XYZ_MATRIX)
"""
*CIE XYZ* tristimulus values to *REDcolor* colourspace matrix.
XYZ_TO_RED_COLOR_MATRIX : array_like, (3, 3)
"""
def _linear_to_red_log_film(
[0.13012295081967212, 0.034836065573770496]])
"""
*Best RGB* colourspace primaries.
BEST_RGB_PRIMARIES : ndarray, (3, 2)
"""
BEST_RGB_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get('D50')
"""
*Best RGB* colourspace whitepoint.
BEST_RGB_WHITEPOINT : tuple
"""
BEST_RGB_TO_XYZ_MATRIX = normalised_primary_matrix(BEST_RGB_PRIMARIES,
BEST_RGB_WHITEPOINT)
"""
*Best RGB* colourspace to *CIE XYZ* colourspace matrix.
BEST_RGB_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_BEST_RGB_MATRIX = np.linalg.inv(BEST_RGB_TO_XYZ_MATRIX)
"""
*CIE XYZ* colourspace to *Best RGB* colourspace matrix.
XYZ_TO_BEST_RGB_MATRIX : array_like, (3, 3)
"""
BEST_RGB_TRANSFER_FUNCTION = lambda x: x**(1 / 2.2)
"""
[0.131, 0.046]])
"""
*Rec. 2020* colourspace primaries.
REC_2020_PRIMARIES : ndarray, (3, 2)
"""
REC_2020_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get('D65')
"""
*Rec. 2020* colourspace whitepoint.
REC_2020_WHITEPOINT : tuple
"""
REC_2020_TO_XYZ_MATRIX = normalised_primary_matrix(REC_2020_PRIMARIES,
REC_2020_WHITEPOINT)
"""
*Rec. 2020* colourspace to *CIE XYZ* colourspace matrix.
REC_2020_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_REC_2020_MATRIX = np.linalg.inv(REC_2020_TO_XYZ_MATRIX)
"""
*CIE XYZ* colourspace to *Rec. 2020* colourspace matrix.
XYZ_TO_REC_2020_MATRIX : array_like, (3, 3)
"""
REC_2020_CONSTANTS = Structure(alpha=lambda x: 1.099 if x else 1.0993,
beta=lambda x: 0.018 if x else 0.0181)
*Adobe Wide Gamut RGB* colourspace whitepoint name as illuminant.
ADOBE_WIDE_GAMUT_RGB_ILLUMINANT : unicode
"""
ADOBE_WIDE_GAMUT_RGB_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get(
ADOBE_WIDE_GAMUT_RGB_ILLUMINANT)
"""
*Adobe Wide Gamut RGB* colourspace whitepoint.
ADOBE_WIDE_GAMUT_RGB_WHITEPOINT : tuple
"""
ADOBE_WIDE_GAMUT_RGB_TO_XYZ_MATRIX = normalised_primary_matrix(
ADOBE_WIDE_GAMUT_RGB_PRIMARIES,
ADOBE_WIDE_GAMUT_RGB_WHITEPOINT)
"""
*Adobe Wide Gamut RGB* colourspace to *CIE XYZ* tristimulus values matrix.
ADOBE_WIDE_GAMUT_RGB_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_ADOBE_WIDE_GAMUT_RGB_MATRIX = np.linalg.inv(
ADOBE_WIDE_GAMUT_RGB_TO_XYZ_MATRIX)
"""
*CIE XYZ* tristimulus values to *Adobe Wide Gamut RGB* colourspace matrix.
XYZ_TO_ADOBE_WIDE_GAMUT_RGB_MATRIX : array_like, (3, 3)
"""
S_GAMUT_ILLUMINANT = 'D65'
"""
*S-Gamut* colourspace whitepoint name as illuminant.
S_GAMUT_ILLUMINANT : unicode
"""
S_GAMUT_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get(S_GAMUT_ILLUMINANT)
"""
*S-Gamut* colourspace whitepoint.
S_GAMUT_WHITEPOINT : tuple
"""
S_GAMUT_TO_XYZ_MATRIX = normalised_primary_matrix(S_GAMUT_PRIMARIES,
S_GAMUT_WHITEPOINT)
"""
*S-Gamut* colourspace to *CIE XYZ* tristimulus values matrix.
S_GAMUT_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_S_GAMUT_MATRIX = np.linalg.inv(S_GAMUT_TO_XYZ_MATRIX)
"""
*CIE XYZ* tristimulus values to *S-Gamut* colourspace matrix.
XYZ_TO_S_GAMUT_MATRIX : array_like, (3, 3)
"""
def _linear_to_s_log(value):
ECI_RGB_V_ILLUMINANT = 'D50'
"""
*ECI RGB v2* colourspace whitepoint name as illuminant.
ECI_RGB_V_ILLUMINANT : unicode
"""
ECI_RGB_V2_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get(ECI_RGB_V_ILLUMINANT)
"""
*ECI RGB v2* colourspace whitepoint.
ECI_RGB_V2_WHITEPOINT : tuple
"""
ECI_RGB_V2_TO_XYZ_MATRIX = normalised_primary_matrix(ECI_RGB_V2_PRIMARIES,
ECI_RGB_V2_WHITEPOINT)
"""
*ECI RGB v2* colourspace to *CIE XYZ* tristimulus values matrix.
ECI_RGB_V2_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_ECI_RGB_V2_MATRIX = np.linalg.inv(ECI_RGB_V2_TO_XYZ_MATRIX)
"""
*CIE XYZ* tristimulus values to *ECI RGB v2* colourspace matrix.
XYZ_TO_ECI_RGB_V2_MATRIX : array_like, (3, 3)
"""
def _eci_rgb_v2_transfer_function(value):
[0.10, -0.05]])
"""
*S-Log* colourspace primaries.
S_LOG_PRIMARIES : ndarray, (3, 2)
"""
S_LOG_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get('D65')
"""
*S-Log* colourspace whitepoint.
S_LOG_WHITEPOINT : tuple
"""
S_LOG_TO_XYZ_MATRIX = normalised_primary_matrix(S_LOG_PRIMARIES,
S_LOG_WHITEPOINT)
"""
*S-Log* colourspace to *CIE XYZ* colourspace matrix.
S_LOG_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_S_LOG_MATRIX = np.linalg.inv(S_LOG_TO_XYZ_MATRIX)
"""
*CIE XYZ* colourspace to *S-Log* colourspace matrix.
XYZ_TO_S_LOG_MATRIX : array_like, (3, 3)
"""
S_LOG_TRANSFER_FUNCTION = lambda x: (
(0.432699 * math.log10(x + 0.037584) + 0.616596) + 0.03)
BEST_RGB_ILLUMINANT = 'D50'
"""
*Best RGB* colourspace whitepoint name as illuminant.
BEST_RGB_ILLUMINANT : unicode
"""
BEST_RGB_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get(BEST_RGB_ILLUMINANT)
"""
*Best RGB* colourspace whitepoint.
BEST_RGB_WHITEPOINT : tuple
"""
BEST_RGB_TO_XYZ_MATRIX = normalised_primary_matrix(BEST_RGB_PRIMARIES,
BEST_RGB_WHITEPOINT)
"""
*Best RGB* colourspace to *CIE XYZ* colourspace matrix.
BEST_RGB_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_BEST_RGB_MATRIX = np.linalg.inv(BEST_RGB_TO_XYZ_MATRIX)
"""
*CIE XYZ* colourspace to *Best RGB* colourspace matrix.
XYZ_TO_BEST_RGB_MATRIX : array_like, (3, 3)
"""
def _best_rgb_transfer_function(value):
PAL_SECAM_RGB_ILLUMINANT = 'D65'
"""
*Pal/Secam RGB* colourspace whitepoint name as illuminant.
PAL_SECAM_RGB_ILLUMINANT : unicode
"""
PAL_SECAM_RGB_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get(PAL_SECAM_RGB_ILLUMINANT)
"""
*Pal/Secam RGB* colourspace whitepoint.
PAL_SECAM_RGB_WHITEPOINT : tuple
"""
PAL_SECAM_RGB_TO_XYZ_MATRIX = normalised_primary_matrix(
PAL_SECAM_RGB_PRIMARIES, PAL_SECAM_RGB_WHITEPOINT)
"""
*Pal/Secam RGB* colourspace to *CIE XYZ* tristimulus values matrix.
PAL_SECAM_RGB_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_PAL_SECAM_RGB_MATRIX = np.linalg.inv(PAL_SECAM_RGB_TO_XYZ_MATRIX)
"""
*CIE XYZ* tristimulus values to *Pal/Secam RGB* colourspace matrix.
XYZ_TO_PAL_SECAM_RGB_MATRIX : array_like, (3, 3)
"""
def _pal_secam_rgb_transfer_function(value):
DON_RGB_4_ILLUMINANT = 'D50'
"""
*Don RGB 4* colourspace whitepoint name as illuminant.
DON_RGB_4_ILLUMINANT : unicode
"""
DON_RGB_4_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get(DON_RGB_4_ILLUMINANT)
"""
*Don RGB 4* colourspace whitepoint.
DON_RGB_4_WHITEPOINT : tuple
"""
DON_RGB_4_TO_XYZ_MATRIX = normalised_primary_matrix(DON_RGB_4_PRIMARIES,
DON_RGB_4_WHITEPOINT)
"""
*Don RGB 4* colourspace to *CIE XYZ* tristimulus values matrix.
DON_RGB_4_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_DON_RGB_4_MATRIX = np.linalg.inv(DON_RGB_4_TO_XYZ_MATRIX)
"""
*CIE XYZ* tristimulus values to *Don RGB 4* colourspace matrix.
XYZ_TO_DON_RGB_4_MATRIX : array_like, (3, 3)
"""
def _don_rgb_4_OECF(value):
[0.12993762993762992, 0.035343035343035345]])
"""
*Don RGB 4* colourspace primaries.
DON_RGB_4_PRIMARIES : ndarray, (3, 2)
"""
DON_RGB_4_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get('D50')
"""
*Don RGB 4* colourspace whitepoint.
DON_RGB_4_WHITEPOINT : tuple
"""
DON_RGB_4_TO_XYZ_MATRIX = normalised_primary_matrix(DON_RGB_4_PRIMARIES,
DON_RGB_4_WHITEPOINT)
"""
*Don RGB 4* colourspace to *CIE XYZ* colourspace matrix.
DON_RGB_4_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_DON_RGB_4_MATRIX = np.linalg.inv(DON_RGB_4_TO_XYZ_MATRIX)
"""
*CIE XYZ* colourspace to *Don RGB 4* colourspace matrix.
XYZ_TO_DON_RGB_4_MATRIX : array_like, (3, 3)
"""
DON_RGB_4_TRANSFER_FUNCTION = lambda x: x ** (1 / 2.2)
"""
"""
Current Smits (1999) method implementation colourspace primaries.
SMITS1999_PRIMARIES : ndarray, (3, 2)
"""
SMITS1999_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get('E')
"""
Current Smits (1999) method implementation colourspace whitepoint.
SMITS1999_WHITEPOINT : tuple
"""
SMITS1999_XYZ_TO_RGB_MATRIX = np.linalg.inv(
normalised_primary_matrix(SMITS1999_PRIMARIES, SMITS1999_WHITEPOINT))
"""
Current Smits (1999) method implementation *RGB* colourspace to
*CIE XYZ* tristimulus values matrix.
SMITS1999_XYZ_TO_RGB_MATRIX : array_like, (3, 3)
"""
def XYZ_to_RGB_Smits1999(XYZ, chromatic_adaptation_transform='Bradford'):
"""
Convenient object to convert from *CIE XYZ* tristimulus values to *RGB*
colourspace in conditions required by the current Smits (1999) method
implementation.
Parameters
RUSSELL_RGB_ILLUMINANT = 'D55'
"""
*Russell RGB* colourspace whitepoint name as illuminant.
RUSSELL_RGB_ILLUMINANT : unicode
"""
RUSSELL_RGB_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get(RUSSELL_RGB_ILLUMINANT)
"""
*Russell RGB* colourspace whitepoint.
RUSSELL_RGB_WHITEPOINT : tuple
"""
RUSSELL_RGB_TO_XYZ_MATRIX = normalised_primary_matrix(
RUSSELL_RGB_PRIMARIES, RUSSELL_RGB_WHITEPOINT)
"""
*Russell RGB* colourspace to *CIE XYZ* colourspace matrix.
RUSSELL_RGB_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_RUSSELL_RGB_MATRIX = np.linalg.inv(RUSSELL_RGB_TO_XYZ_MATRIX)
"""
*CIE XYZ* colourspace to *Russell RGB* colourspace matrix.
XYZ_TO_RUSSELL_RGB_MATRIX : array_like, (3, 3)
"""
def _russell_rgb_transfer_function(value):
[0.155, 0.070]])
"""
*SMPTE-C RGB* colourspace primaries.
SMPTE_C_RGB_PRIMARIES : ndarray, (3, 2)
"""
SMPTE_C_RGB_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get('D65')
"""
*SMPTE-C RGB* colourspace whitepoint.
SMPTE_C_RGB_WHITEPOINT : tuple
"""
SMPTE_C_RGB_TO_XYZ_MATRIX = normalised_primary_matrix(SMPTE_C_RGB_PRIMARIES,
SMPTE_C_RGB_WHITEPOINT)
"""
*SMPTE-C RGB* colourspace to *CIE XYZ* colourspace matrix.
SMPTE_C_RGB_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_SMPTE_C_RGB_MATRIX = np.linalg.inv(SMPTE_C_RGB_TO_XYZ_MATRIX)
"""
*CIE XYZ* colourspace to *SMPTE-C RGB* colourspace matrix.
XYZ_TO_SMPTE_C_RGB_MATRIX : array_like, (3, 3)
"""
SMPTE_C_RGB_TRANSFER_FUNCTION = lambda x: x**(1 / 2.2)
"""
APPLE_RGB_ILLUMINANT = 'D65'
"""
*Apple RGB* colourspace whitepoint name as illuminant.
APPLE_RGB_ILLUMINANT : unicode
"""
APPLE_RGB_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get(APPLE_RGB_ILLUMINANT)
"""
*Apple RGB* colourspace whitepoint.
APPLE_RGB_WHITEPOINT : tuple
"""
APPLE_RGB_TO_XYZ_MATRIX = normalised_primary_matrix(APPLE_RGB_PRIMARIES,
APPLE_RGB_WHITEPOINT)
"""
*Apple RGB* colourspace to *CIE XYZ* tristimulus values matrix.
APPLE_RGB_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_APPLE_RGB_MATRIX = np.linalg.inv(APPLE_RGB_TO_XYZ_MATRIX)
"""
*CIE XYZ* tristimulus values to *Apple RGB* colourspace matrix.
XYZ_TO_APPLE_RGB_MATRIX : array_like, (3, 3)
"""
def _apple_rgb_OECF(value):
[0.1000, 0.0200]])
"""
*Russell RGB* colourspace primaries.
RUSSELL_RGB_PRIMARIES : ndarray, (3, 2)
"""
RUSSELL_RGB_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get('D55')
"""
*Russell RGB* colourspace whitepoint.
RUSSELL_RGB_WHITEPOINT : tuple
"""
RUSSELL_RGB_TO_XYZ_MATRIX = normalised_primary_matrix(RUSSELL_RGB_PRIMARIES,
RUSSELL_RGB_WHITEPOINT)
"""
*Russell RGB* colourspace to *CIE XYZ* colourspace matrix.
RUSSELL_RGB_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_RUSSELL_RGB_MATRIX = np.linalg.inv(RUSSELL_RGB_TO_XYZ_MATRIX)
"""
*CIE XYZ* colourspace to *Russell RGB* colourspace matrix.
XYZ_TO_RUSSELL_RGB_MATRIX : array_like, (3, 3)
"""
RUSSELL_RGB_TRANSFER_FUNCTION = lambda x: x**(1 / 2.2)
"""
PAL_SECAM_RGB_PRIMARIES = np.array([[0.64, 0.33], [0.29, 0.60], [0.15, 0.06]])
"""
*Pal/Secam RGB* colourspace primaries.
PAL_SECAM_RGB_PRIMARIES : ndarray, (3, 2)
"""
PAL_SECAM_RGB_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get('D65')
"""
*Pal/Secam RGB* colourspace whitepoint.
PAL_SECAM_RGB_WHITEPOINT : tuple
"""
PAL_SECAM_RGB_TO_XYZ_MATRIX = normalised_primary_matrix(
PAL_SECAM_RGB_PRIMARIES, PAL_SECAM_RGB_WHITEPOINT)
"""
*Pal/Secam RGB* colourspace to *CIE XYZ* colourspace matrix.
PAL_SECAM_RGB_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_PAL_SECAM_RGB_MATRIX = np.linalg.inv(PAL_SECAM_RGB_TO_XYZ_MATRIX)
"""
*CIE XYZ* colourspace to *Pal/Secam RGB* colourspace matrix.
XYZ_TO_PAL_SECAM_RGB_MATRIX : array_like, (3, 3)
"""
PAL_SECAM_RGB_TRANSFER_FUNCTION = lambda x: x**(1 / 2.8)
"""
"""
*ColorMatch RGB* colourspace whitepoint name as illuminant.
COLOR_MATCH_RGB_ILLUMINANT : unicode
"""
COLOR_MATCH_RGB_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get(COLOR_MATCH_RGB_ILLUMINANT)
"""
*ColorMatch RGB* colourspace whitepoint.
COLOR_MATCH_RGB_WHITEPOINT : tuple
"""
COLOR_MATCH_RGB_TO_XYZ_MATRIX = normalised_primary_matrix(
COLOR_MATCH_RGB_PRIMARIES,
COLOR_MATCH_RGB_WHITEPOINT)
"""
*ColorMatch RGB* colourspace to *CIE XYZ* colourspace matrix.
COLOR_MATCH_RGB_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_COLOR_MATCH_RGB_MATRIX = np.linalg.inv(COLOR_MATCH_RGB_TO_XYZ_MATRIX)
"""
*CIE XYZ* colourspace to *ColorMatch RGB* colourspace matrix.
XYZ_TO_COLOR_MATCH_RGB_MATRIX : array_like, (3, 3)
"""
ECI_RGB_V_ILLUMINANT = 'D50'
"""
*ECI RGB v2* colourspace whitepoint name as illuminant.
ECI_RGB_V_ILLUMINANT : unicode
"""
ECI_RGB_V2_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get(ECI_RGB_V_ILLUMINANT)
"""
*ECI RGB v2* colourspace whitepoint.
ECI_RGB_V2_WHITEPOINT : tuple
"""
ECI_RGB_V2_TO_XYZ_MATRIX = normalised_primary_matrix(ECI_RGB_V2_PRIMARIES,
ECI_RGB_V2_WHITEPOINT)
"""
*ECI RGB v2* colourspace to *CIE XYZ* tristimulus values matrix.
ECI_RGB_V2_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_ECI_RGB_V2_MATRIX = np.linalg.inv(ECI_RGB_V2_TO_XYZ_MATRIX)
"""
*CIE XYZ* tristimulus values to *ECI RGB v2* colourspace matrix.
XYZ_TO_ECI_RGB_V2_MATRIX : array_like, (3, 3)
"""
def _eci_rgb_v2_OECF(value):
[0.1500, 0.0750]])
"""
*ColorMatch RGB* colourspace primaries.
COLOR_MATCH_RGB_PRIMARIES : ndarray, (3, 2)
"""
COLOR_MATCH_RGB_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get('D50')
"""
*ColorMatch RGB* colourspace whitepoint.
COLOR_MATCH_RGB_WHITEPOINT : tuple
"""
COLOR_MATCH_RGB_TO_XYZ_MATRIX = normalised_primary_matrix(
COLOR_MATCH_RGB_PRIMARIES, COLOR_MATCH_RGB_WHITEPOINT)
"""
*ColorMatch RGB* colourspace to *CIE XYZ* colourspace matrix.
COLOR_MATCH_RGB_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_COLOR_MATCH_RGB_MATRIX = np.linalg.inv(COLOR_MATCH_RGB_TO_XYZ_MATRIX)
"""
*CIE XYZ* colourspace to *ColorMatch RGB* colourspace matrix.
XYZ_TO_COLOR_MATCH_RGB_MATRIX : array_like, (3, 3)
"""
COLOR_MATCH_RGB_TRANSFER_FUNCTION = lambda x: x**(1 / 1.8)
"""
*Adobe Wide Gamut RGB* colourspace whitepoint name as illuminant.
ADOBE_WIDE_GAMUT_RGB_ILLUMINANT : unicode
"""
ADOBE_WIDE_GAMUT_RGB_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get(
ADOBE_WIDE_GAMUT_RGB_ILLUMINANT)
"""
*Adobe Wide Gamut RGB* colourspace whitepoint.
ADOBE_WIDE_GAMUT_RGB_WHITEPOINT : tuple
"""
ADOBE_WIDE_GAMUT_RGB_TO_XYZ_MATRIX = normalised_primary_matrix(
ADOBE_WIDE_GAMUT_RGB_PRIMARIES,
ADOBE_WIDE_GAMUT_RGB_WHITEPOINT)
"""
*Adobe Wide Gamut RGB* colourspace to *CIE XYZ* tristimulus values matrix.
ADOBE_WIDE_GAMUT_RGB_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_ADOBE_WIDE_GAMUT_RGB_MATRIX = np.linalg.inv(
ADOBE_WIDE_GAMUT_RGB_TO_XYZ_MATRIX)
"""
*CIE XYZ* tristimulus values to *Adobe Wide Gamut RGB* colourspace matrix.
XYZ_TO_ADOBE_WIDE_GAMUT_RGB_MATRIX : array_like, (3, 3)
"""
"""
Current Smits (1999) method implementation colourspace primaries.
SMITS1999_PRIMARIES : ndarray, (3, 2)
"""
SMITS1999_WHITEPOINT = ILLUMINANTS.get(
'CIE 1931 2 Degree Standard Observer').get('E')
"""
Current Smits (1999) method implementation colourspace whitepoint.
SMITS1999_WHITEPOINT : tuple
"""
SMITS1999_XYZ_TO_RGB_MATRIX = np.linalg.inv(
normalised_primary_matrix(SMITS1999_PRIMARIES, SMITS1999_WHITEPOINT))
"""
Current Smits (1999) method implementation *RGB* colourspace to
*CIE XYZ* colourspace matrix.
SMITS1999_XYZ_TO_RGB_MATRIX : array_like, (3, 3)
"""
def XYZ_to_RGB_smits1999(XYZ, chromatic_adaptation_transform='Bradford'):
"""
Convenient object to convert from *CIE XYZ* colourspace to *RGB*
colourspace in conditions required by the current Smits (1999) method
implementation.
Parameters
[3.43966450e-01, 7.28166097e-01, -7.21325464e-02],
[0.00000000e+00, 0.00000000e+00, 1.00882518e+00]])
"""
*ACES Primaries 0* to *CIE XYZ* tristimulus values matrix.
AP0_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_AP0_MATRIX = np.linalg.inv(AP0_TO_XYZ_MATRIX)
"""
*CIE XYZ* tristimulus values to *ACES Primaries 0* matrix.
XYZ_TO_AP0_MATRIX : array_like, (3, 3)
"""
AP1_TO_XYZ_MATRIX = normalised_primary_matrix(AP1, ACES_WHITEPOINT)
"""
*ACES Primaries 1* to *CIE XYZ* tristimulus values matrix.
AP1_TO_XYZ_MATRIX : array_like, (3, 3)
"""
XYZ_TO_AP1_MATRIX = np.linalg.inv(AP1_TO_XYZ_MATRIX)
"""
*CIE XYZ* tristimulus values to *ACES Primaries 1* matrix.
XYZ_TO_AP1_MATRIX : array_like, (3, 3)
"""
def _aces_2065_1_OECF(value):