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:
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...])