Source code for colour.models.rgb.common

"""
Common RGB Colour Models Utilities
==================================

Define various RGB colour models common utilities.
"""

from __future__ import annotations

from colour.colorimetry import CCS_ILLUMINANTS
from colour.hints import (
    ArrayLike,
    LiteralChromaticAdaptationTransform,
    NDArrayFloat,
)
from colour.models.rgb import RGB_COLOURSPACES, RGB_to_XYZ, XYZ_to_RGB

__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__ = [
    "XYZ_to_sRGB",
    "sRGB_to_XYZ",
]


[docs] def XYZ_to_sRGB( XYZ: ArrayLike, illuminant: ArrayLike = CCS_ILLUMINANTS["CIE 1931 2 Degree Standard Observer"][ "D65" ], chromatic_adaptation_transform: ( LiteralChromaticAdaptationTransform | str | None ) = "CAT02", apply_cctf_encoding: bool = True, ) -> NDArrayFloat: """ Convert from *CIE XYZ* tristimulus values to *sRGB* colourspace. Parameters ---------- XYZ *CIE XYZ* tristimulus values. illuminant Source illuminant chromaticity coordinates. chromatic_adaptation_transform *Chromatic adaptation* transform. apply_cctf_encoding Whether to apply the *sRGB* encoding colour component transfer function / inverse electro-optical transfer function. Returns ------- :class:`numpy.ndarray` *sRGB* colour array. Notes ----- +------------+-----------------------+---------------+ | **Domain** | **Scale - Reference** | **Scale - 1** | +============+=======================+===============+ | ``XYZ`` | [0, 1] | [0, 1] | +------------+-----------------------+---------------+ +------------+-----------------------+---------------+ | **Range** | **Scale - Reference** | **Scale - 1** | +============+=======================+===============+ | ``RGB`` | [0, 1] | [0, 1] | +------------+-----------------------+---------------+ Examples -------- >>> import numpy as np >>> XYZ = np.array([0.20654008, 0.12197225, 0.05136952]) >>> XYZ_to_sRGB(XYZ) # doctest: +ELLIPSIS array([ 0.7057393..., 0.1924826..., 0.2235416...]) """ return XYZ_to_RGB( XYZ, RGB_COLOURSPACES["sRGB"], illuminant, chromatic_adaptation_transform, apply_cctf_encoding, )
[docs] def sRGB_to_XYZ( RGB: ArrayLike, illuminant: ArrayLike = CCS_ILLUMINANTS["CIE 1931 2 Degree Standard Observer"][ "D65" ], chromatic_adaptation_transform: ( LiteralChromaticAdaptationTransform | str | None ) = "CAT02", apply_cctf_decoding: bool = True, ) -> NDArrayFloat: """ Convert from *sRGB* colourspace to *CIE XYZ* tristimulus values. Parameters ---------- RGB *sRGB* colourspace array. illuminant Source illuminant chromaticity coordinates. chromatic_adaptation_transform *Chromatic adaptation* transform. apply_cctf_decoding Whether to apply the *sRGB* decoding colour component transfer function / electro-optical transfer function. Returns ------- :class:`numpy.ndarray` *CIE XYZ* tristimulus values. Notes ----- +------------+-----------------------+---------------+ | **Domain** | **Scale - Reference** | **Scale - 1** | +============+=======================+===============+ | ``RGB`` | [0, 1] | [0, 1] | +------------+-----------------------+---------------+ +------------+-----------------------+---------------+ | **Range** | **Scale - Reference** | **Scale - 1** | +============+=======================+===============+ | ``XYZ`` | [0, 1] | [0, 1] | +------------+-----------------------+---------------+ Examples -------- >>> import numpy as np >>> RGB = np.array([0.70573936, 0.19248266, 0.22354169]) >>> sRGB_to_XYZ(RGB) # doctest: +ELLIPSIS array([ 0.2065429..., 0.1219794..., 0.0513714...]) """ return RGB_to_XYZ( RGB, RGB_COLOURSPACES["sRGB"], illuminant, chromatic_adaptation_transform, apply_cctf_decoding, )