colour.RGB_to_RGB#

colour.RGB_to_RGB(RGB: ArrayLike, input_colourspace: RGB_Colourspace | LiteralRGBColourspace | str, output_colourspace: RGB_Colourspace | LiteralRGBColourspace | str, chromatic_adaptation_transform: LiteralChromaticAdaptationTransform | str | None = 'CAT02', apply_cctf_decoding: bool = False, apply_cctf_encoding: bool = False, **kwargs: Any) → NDArrayFloat[source]#

Convert given RGB colourspace array from given input RGB colourspace to output RGB colourspace using given chromatic adaptation method.

Parameters:

RGB (ArrayLike) – RGB colourspace array.
input_colourspace (RGB_Colourspace | LiteralRGBColourspace | str) – RGB input colourspace.
output_colourspace (RGB_Colourspace | LiteralRGBColourspace | str) – RGB output colourspace.
chromatic_adaptation_transform (LiteralChromaticAdaptationTransform | str | None) – Chromatic adaptation transform, if None no chromatic adaptation is performed.
apply_cctf_decoding (bool) – Apply the input colourspace decoding colour component transfer function / electro-optical transfer function.
apply_cctf_encoding (bool) – Apply the output colourspace encoding colour component transfer function / opto-electronic transfer function.
kwargs (Any) – Keywords arguments for the colour component transfer functions.

Returns:

RGB colourspace array.

Return type:

numpy.ndarray

Notes

Domain	Scale - Reference	Scale - 1
`RGB`	[0, 1]	[0, 1]

Range	Scale - Reference	Scale - 1
`RGB`	[0, 1]	[0, 1]

Examples

>>> from colour.models import (
...     RGB_COLOURSPACE_sRGB,
...     RGB_COLOURSPACE_PROPHOTO_RGB,
... )
>>> RGB = np.array([0.45595571, 0.03039702, 0.04087245])
>>> RGB_to_RGB(RGB, RGB_COLOURSPACE_sRGB, RGB_COLOURSPACE_PROPHOTO_RGB)
... 
array([ 0.2568891...,  0.0721446...,  0.0465553...])
>>> RGB_to_RGB(RGB, "sRGB", "ProPhoto RGB")
... 
array([ 0.2568891...,  0.0721446...,  0.0465553...])

colour.RGB_to_RGB#

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