Source code for colour.models.rgb.transfer_functions.dci_p3

# -*- coding: utf-8 -*-
"""
DCI-P3 Colourspace
==================

Defines the *DCI-P3* colourspace opto-electrical transfer function
(OETF / OECF) and electro-optical transfer function (EOTF / EOCF):

-   :func:`colour.models.oetf_DCIP3`
-   :func:`colour.models.eotf_DCIP3`

See Also
--------
`RGB Colourspaces Jupyter Notebook
<http://nbviewer.jupyter.org/github/colour-science/colour-notebooks/\
blob/master/notebooks/models/rgb.ipynb>`_

References
----------
-   :cite:`DigitalCinemaInitiatives2007b` : Digital Cinema Initiatives. (2007).
    Digital Cinema System Specification - Version 1.1. Retrieved from
    http://www.dcimovies.com/archives/spec_v1_1/\
DCI_DCinema_System_Spec_v1_1.pdf
"""

from __future__ import division, unicode_literals

import numpy as np

__author__ = 'Colour Developers'
__copyright__ = 'Copyright (C) 2013-2018 - Colour Developers'
__license__ = 'New BSD License - http://opensource.org/licenses/BSD-3-Clause'
__maintainer__ = 'Colour Developers'
__email__ = 'colour-science@googlegroups.com'
__status__ = 'Production'

__all__ = ['oetf_DCIP3', 'eotf_DCIP3']


[docs]def oetf_DCIP3(XYZ): """ Defines the *DCI-P3* colourspace opto-electronic transfer function (OETF / OECF). Parameters ---------- XYZ : numeric or array_like *CIE XYZ* tristimulus values. Returns ------- numeric or ndarray Non-linear *CIE XYZ'* tristimulus values. References ---------- - :cite:`DigitalCinemaInitiatives2007b` Examples -------- >>> oetf_DCIP3(0.18) # doctest: +ELLIPSIS 461.9922059... """ XYZ = np.asarray(XYZ) return 4095 * (XYZ / 52.37) ** (1 / 2.6)
[docs]def eotf_DCIP3(XYZ_p): """ Defines the *DCI-P3* colourspace electro-optical transfer function (EOTF / EOCF). Parameters ---------- XYZ_p : numeric or array_like Non-linear *CIE XYZ'* tristimulus values. Returns ------- numeric or ndarray *CIE XYZ* tristimulus values. References ---------- - :cite:`DigitalCinemaInitiatives2007b` Examples -------- >>> eotf_DCIP3(461.99220597484737) # doctest: +ELLIPSIS 0.18... """ XYZ_p = np.asarray(XYZ_p) return 52.37 * (XYZ_p / 4095) ** 2.6