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Merge pull request #115 from colour-science/feature/ipt
PR: Implement support for "IPT" colourspace.
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#!/usr/bin/env python | ||
# -*- coding: utf-8 -*- | ||
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""" | ||
IPT Colourspace | ||
=================== | ||
Defines the *IPT* colourspace transformations: | ||
- :func:`XYZ_to_IPT` | ||
- :func:`IPT_to_XYZ` | ||
and computation of correlates: | ||
- :func:`IPT_hue_angle` | ||
References | ||
---------- | ||
.. [1] **Mark D. Fairchild**, *Color Appearance Models, 3nd Edition*, | ||
The Wiley-IS&T Series in Imaging Science and Technology, | ||
published June 2013, ASIN: B00DAYO8E2, locations 5094-5556, | ||
pages 271-272. | ||
""" | ||
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from __future__ import division, unicode_literals | ||
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import numpy as np | ||
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__author__ = 'Colour Developers' | ||
__copyright__ = 'Copyright (C) 2013 - 2014 - Colour Developers' | ||
__license__ = 'New BSD License - http://opensource.org/licenses/BSD-3-Clause' | ||
__maintainer__ = 'Colour Developers' | ||
__email__ = 'colour-science@googlegroups.com' | ||
__status__ = 'Production' | ||
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__all__ = ['XYZ_to_IPT', | ||
'IPT_to_XYZ', | ||
'IPT_hue_angle'] | ||
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IPT_XYZ_TO_LMS_MATRIX = np.array([ | ||
[0.4002, 0.7075, -0.0807], | ||
[-0.2280, 1.1500, 0.0612], | ||
[0.0000, 0.0000, 0.9184]]) | ||
""" | ||
*CIE XYZ* colourspace to *IPT* colourspace normalised cone responses matrix. | ||
IPT_XYZ_TO_LMS_MATRIX : array_like, (3, 3) | ||
""" | ||
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IPT_LMS_TO_XYZ_MATRIX = np.around( | ||
np.linalg.inv(IPT_XYZ_TO_LMS_MATRIX), | ||
decimals=4) | ||
""" | ||
*IPT* colourspace normalised cone responses to *CIE XYZ* colourspace matrix. | ||
Notes | ||
----- | ||
- This matrix has been rounded on purpose to 4 decimals so in order to keep available | ||
precision consistent between transformations. | ||
IPT_LMS_TO_XYZ_MATRIX : array_like, (3, 3) | ||
""" | ||
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IPT_LMS_TO_IPT_MATRIX = np.array([ | ||
[0.4000, 0.4000, 0.2000], | ||
[4.4550, -4.8510, 0.3960], | ||
[0.8056, 0.3572, -1.1628]]) | ||
""" | ||
*IPT* colourspace normalised cone responses to *IPT* colourspace matrix. | ||
IPT_LMS_TO_IPT_MATRIX : array_like, (3, 3) | ||
""" | ||
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IPT_IPT_TO_LMS_MATRIX = np.around( | ||
np.linalg.inv(IPT_LMS_TO_IPT_MATRIX), | ||
decimals=4) | ||
""" | ||
*IPT* colourspace to *IPT* colourspace normalised cone responses matrix. | ||
Notes | ||
----- | ||
- This matrix has been rounded on purpose to 4 decimals so in order to keep available | ||
precision consistent between transformations. | ||
IPT_IPT_TO_LMS_MATRIX : array_like, (3, 3) | ||
""" | ||
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def XYZ_to_IPT(XYZ): | ||
""" | ||
Converts from *CIE XYZ* colourspace to *IPT* colourspace (see [1]_). | ||
Parameters | ||
---------- | ||
XYZ : array_like, (3,) | ||
*CIE XYZ* colourspace matrix. | ||
Returns | ||
------- | ||
ndarray, (3,) | ||
*IPT* colourspace matrix. | ||
Notes | ||
----- | ||
- Input *CIE XYZ* needs to be adapted for CIE illuminant D65. | ||
Examples | ||
-------- | ||
>>> XYZ_to_IPT(np.array([0.5, 0.5, 0.5])) # doctest: +ELLIPSIS | ||
array([ 0.738192 , 0.0536732..., 0.0359856...]) | ||
""" | ||
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LMS = np.dot(IPT_XYZ_TO_LMS_MATRIX, XYZ) | ||
LMS_prime = np.sign(LMS) * np.abs(LMS) ** 0.43 | ||
IPT = np.dot(IPT_LMS_TO_IPT_MATRIX, LMS_prime) | ||
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return IPT | ||
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def IPT_to_XYZ(IPT): | ||
""" | ||
Converts from *IPT* colourspace to *CIE XYZ* colourspace (see [1]_). | ||
Parameters | ||
---------- | ||
IPT : array_like, (3,) | ||
*IPT* colourspace matrix. | ||
Returns | ||
------- | ||
ndarray, (3,) | ||
*XYZ* colourspace matrix. | ||
Examples | ||
-------- | ||
>>> IPT_to_XYZ(np.array([0.5, 0.5, 0.5])) # doctest: +ELLIPSIS | ||
array([ 0.4497109..., 0.2694691..., 0.0196303...]) | ||
""" | ||
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LMS = np.dot(IPT_IPT_TO_LMS_MATRIX, IPT) | ||
LMS_prime = np.sign(LMS) * np.abs(LMS) ** (1 / 0.43) | ||
XYZ = np.dot(IPT_LMS_TO_XYZ_MATRIX, LMS_prime) | ||
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return XYZ | ||
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def IPT_hue_angle(IPT): | ||
""" | ||
Computes the hue angle from *IPT* colourspace (see [1]_). | ||
Parameters | ||
---------- | ||
IPT : array_like, (3,) | ||
*IPT* colourspace matrix. | ||
Returns | ||
------- | ||
numeric, | ||
hue angle. | ||
Examples | ||
-------- | ||
>>> IPT_hue_angle(([0.5, 0.5, 0.5])) # doctest: +ELLIPSIS | ||
0.7853981... | ||
""" | ||
return np.arctan2(IPT[2], IPT[1]) |
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#!/usr/bin/env python | ||
# -*- coding: utf-8 -*- | ||
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""" | ||
Defines unit tests for :mod:`colour.models.ipt` module. | ||
""" | ||
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from __future__ import division, unicode_literals | ||
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import numpy as np | ||
import sys | ||
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if sys.version_info[:2] <= (2, 6): | ||
import unittest2 as unittest | ||
else: | ||
import unittest | ||
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from colour.models import XYZ_to_IPT, IPT_to_XYZ, IPT_hue_angle | ||
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__author__ = 'Colour Developers' | ||
__copyright__ = 'Copyright (C) 2013 - 2014 - Colour Developers' | ||
__license__ = 'New BSD License - http://opensource.org/licenses/BSD-3-Clause' | ||
__maintainer__ = 'Colour Developers' | ||
__email__ = 'colour-science@googlegroups.com' | ||
__status__ = 'Production' | ||
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__all__ = ['TestXYZ_to_IPT', | ||
'TestIPT_to_XYZ', | ||
'TestIPT_hue_angle'] | ||
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class TestXYZ_to_IPT(unittest.TestCase): | ||
""" | ||
Defines :func:`colour.models.ipt.TestXYZ_to_IPT` definition unit tests | ||
methods. | ||
""" | ||
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def test_XYZ_to_IPT(self): | ||
""" | ||
Tests :func:`colour.models.ipt.XYZ_to_IPT` definition. | ||
""" | ||
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np.testing.assert_almost_equal( | ||
XYZ_to_IPT(np.array([0.5, 0.5, 0.5])), | ||
np.array([0.738192, 0.0536732, 0.0359856]), | ||
decimal=7) | ||
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class TestIPT_to_XYZ(unittest.TestCase): | ||
""" | ||
Defines :func:`colour.models.ipt.IPT_to_XYZ` definition unit tests | ||
methods. | ||
""" | ||
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def test_IPT_to_XYZ(self): | ||
""" | ||
Tests :func:`colour.models.ipt.IPT_to_XYZ` definition. | ||
""" | ||
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np.testing.assert_almost_equal( | ||
IPT_to_XYZ(np.array([0.5, 0.5, 0.5])), | ||
np.array([0.4497109, 0.2694691, 0.0196303]), | ||
decimal=7) | ||
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class TestIPT_hue_angle(unittest.TestCase): | ||
""" | ||
Defines :func:`colour.models.ipt.IPT_hue_angle` definition unit tests | ||
methods. | ||
""" | ||
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def test_IPT_hue_angle(self): | ||
""" | ||
Tests :func:`colour.models.ipt.IPT_hue_angle` definition. | ||
""" | ||
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np.testing.assert_almost_equal( | ||
IPT_hue_angle(np.array([0.5, 0.5, 0.5])), | ||
0.78539812, | ||
decimal=7) |