colour.XYZ_to_sRGB#
- colour.XYZ_to_sRGB(XYZ: ArrayLike, illuminant: ArrayLike = CCS_ILLUMINANTS['CIE 1931 2 Degree Standard Observer']['D65'], chromatic_adaptation_transform: Literal['Bianco 2010', 'Bianco PC 2010', 'Bradford', 'CAT02 Brill 2008', 'CAT02', 'CAT16', 'CMCCAT2000', 'CMCCAT97', 'Fairchild', 'Sharp', 'Von Kries', 'XYZ Scaling'] | str | None = 'CAT02', apply_cctf_encoding: bool = True) NDArrayFloat [source]#
Convert from CIE XYZ tristimulus values to sRGB colourspace.
- Parameters:
XYZ (ArrayLike) – CIE XYZ tristimulus values.
illuminant (ArrayLike) – Source illuminant chromaticity coordinates.
chromatic_adaptation_transform (Literal['Bianco 2010', 'Bianco PC 2010', 'Bradford', 'CAT02 Brill 2008', 'CAT02', 'CAT16', 'CMCCAT2000', 'CMCCAT97', 'Fairchild', 'Sharp', 'Von Kries', 'XYZ Scaling'] | str | None) – Chromatic adaptation transform.
apply_cctf_encoding (bool) – Whether to apply the sRGB encoding colour component transfer function / inverse electro-optical transfer function.
- Returns:
sRGB colour array.
- Return type:
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) array([ 0.7057393..., 0.1924826..., 0.2235416...])