colour.sRGB_to_XYZ¶
- colour.sRGB_to_XYZ(RGB: ArrayLike, illuminant: ArrayLike = CCS_ILLUMINANTS['CIE 1931 2 Degree Standard Observer']['D65'], chromatic_adaptation_transform: Union[Literal['Bianco 2010', 'Bianco PC 2010', 'Bradford', 'CAT02 Brill 2008', 'CAT02', 'CAT16', 'CMCCAT2000', 'CMCCAT97', 'Fairchild', 'Sharp', 'Von Kries', 'XYZ Scaling'], str] = 'CAT02', apply_cctf_decoding: bool = True) numpy.ndarray [source]¶
Convert from sRGB colourspace to CIE XYZ tristimulus values.
- Parameters
RGB (ArrayLike) – sRGB colourspace array.
illuminant (ArrayLike) – Source illuminant chromaticity coordinates.
chromatic_adaptation_transform (Union[Literal['Bianco 2010', 'Bianco PC 2010', 'Bradford', 'CAT02 Brill 2008', 'CAT02', 'CAT16', 'CMCCAT2000', 'CMCCAT97', 'Fairchild', 'Sharp', 'Von Kries', 'XYZ Scaling'], str]) – Chromatic adaptation transform.
apply_cctf_decoding (bool) – Whether to apply the sRGB decoding colour component transfer function / electro-optical transfer function.
- Returns
CIE XYZ tristimulus values.
- Return type
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) array([ 0.2065429..., 0.1219794..., 0.0513714...])