Source code for colour.models.rgb.transfer_functions.itur_bt_1886

"""
Recommendation ITU-R BT.1886
============================

Define the *Recommendation ITU-R BT.1886* electro-optical transfer function
(EOTF) and its inverse.

-   :func:`colour.models.eotf_inverse_BT1886`
-   :func:`colour.models.eotf_BT1886`

References
----------
-   :cite:`InternationalTelecommunicationUnion2011h` : International
    Telecommunication Union. (2011). Recommendation ITU-R BT.1886 - Reference
    electro-optical transfer function for flat panel displays used in HDTV
    studio production BT Series Broadcasting service.
    https://www.itu.int/dms_pubrec/itu-r/rec/bt/\
R-REC-BT.1886-0-201103-I!!PDF-E.pdf
"""

from __future__ import annotations

import numpy as np

from colour.algebra import spow
from colour.hints import (  # noqa: TC001
    Domain1,
    Range1,
)
from colour.utilities import as_float, from_range_1, to_domain_1

__author__ = "Colour Developers"
__copyright__ = "Copyright 2013 Colour Developers"
__license__ = "BSD-3-Clause - https://opensource.org/licenses/BSD-3-Clause"
__maintainer__ = "Colour Developers"
__email__ = "colour-developers@colour-science.org"
__status__ = "Production"

__all__ = [
    "eotf_inverse_BT1886",
    "eotf_BT1886",
]


[docs] def eotf_inverse_BT1886(L: Domain1, L_B: float = 0, L_W: float = 1) -> Range1: """ Apply the *Recommendation ITU-R BT.1886* inverse electro-optical transfer function (EOTF) for flat panel displays. Parameters ---------- L Screen luminance in :math:`cd/m^2`. L_B Screen luminance for black in :math:`cd/m^2`. L_W Screen luminance for white in :math:`cd/m^2`. Returns ------- :class:`numpy.ndarray` Input video signal level (normalised, with black at :math:`V = 0` and white at :math:`V = 1`). For content mastered per *Recommendation ITU-R BT.709*, 10-bit digital code values :math:`D` map into values of :math:`V` per the following equation: :math:`V = (D-64)/876` Notes ----- +------------+-----------------------+---------------+ | **Domain** | **Scale - Reference** | **Scale - 1** | +============+=======================+===============+ | ``L`` | 1 | 1 | +------------+-----------------------+---------------+ +------------+-----------------------+---------------+ | **Range** | **Scale - Reference** | **Scale - 1** | +============+=======================+===============+ | ``V`` | 1 | 1 | +------------+-----------------------+---------------+ References ---------- :cite:`InternationalTelecommunicationUnion2011h` Examples -------- >>> eotf_inverse_BT1886(0.11699185725296059) # doctest: +ELLIPSIS np.float64(0.4090077...) """ L = to_domain_1(L) gamma = 2.40 gamma_d = 1 / gamma n = L_W**gamma_d - L_B**gamma_d a = n**gamma b = L_B**gamma_d / n V = spow(L / a, gamma_d) - b return as_float(from_range_1(V))
[docs] def eotf_BT1886(V: Domain1, L_B: float = 0, L_W: float = 1) -> Range1: """ Apply the *Recommendation ITU-R BT.1886* electro-optical transfer function (EOTF) for flat panel displays. Parameters ---------- V Input video signal level (normalised, with black at :math:`V = 0` and white at :math:`V = 1`). For content mastered per *Recommendation ITU-R BT.709*, 10-bit digital code values :math:`D` map into values of :math:`V` per the following equation: :math:`V = (D-64)/876` L_B Screen luminance for black in :math:`cd/m^2`. L_W Screen luminance for white in :math:`cd/m^2`. Returns ------- :class:`numpy.ndarray` Screen luminance in :math:`cd/m^2`. Notes ----- +------------+-----------------------+---------------+ | **Domain** | **Scale - Reference** | **Scale - 1** | +============+=======================+===============+ | ``V`` | 1 | 1 | +------------+-----------------------+---------------+ +------------+-----------------------+---------------+ | **Range** | **Scale - Reference** | **Scale - 1** | +============+=======================+===============+ | ``L`` | 1 | 1 | +------------+-----------------------+---------------+ References ---------- :cite:`InternationalTelecommunicationUnion2011h` Examples -------- >>> eotf_BT1886(0.409007728864150) # doctest: +ELLIPSIS np.float64(0.1169918...) """ V = to_domain_1(V) gamma = 2.40 gamma_d = 1 / gamma n = L_W**gamma_d - L_B**gamma_d a = n**gamma b = L_B**gamma_d / n L = a * spow(np.maximum(V + b, 0), gamma) return as_float(from_range_1(L))