colour.temperature.XYZ_to_CCT_Ohno2013#
- colour.temperature.XYZ_to_CCT_Ohno2013(XYZ: ArrayLike, cmfs: MultiSpectralDistributions | None = None, start: float | None = None, end: float | None = None, spacing: float | None = None)[source]#
Return the correlated colour temperature \(T_{cp}\) and \(\Delta_{uv}\) from given CIE XYZ tristimulus values, colour matching functions and temperature range using Ohno (2013) method.
- Parameters:
XYZ (ArrayLike) – XYZ colourspace uv chromaticity coordinates.
cmfs (MultiSpectralDistributions | None) – Standard observer colour matching functions, default to the CIE 1931 2 Degree Standard Observer.
start (float | None) – Temperature range start in kelvin degrees, default to 1000.
end (float | None) – Temperature range end in kelvin degrees, default to 100000.
spacing (float | None) – Spacing between values of the underlying planckian table expressed as a multiplier. Default to 1.001. The closer to 1.0, the higher the precision of the returned colour temperature \(T_{cp}\) and \(\Delta_{uv}\). 1.01 provides a good balance between performance and accuracy.
spacing
value must be greater than 1.
- Returns:
Correlated colour temperature \(T_{cp}\), \(\Delta_{uv}\).
- Return type:
References
[Ohn14]
Examples
>>> from colour import MSDS_CMFS, SPECTRAL_SHAPE_DEFAULT >>> cmfs = ( ... MSDS_CMFS["CIE 1931 2 Degree Standard Observer"] ... .copy() ... .align(SPECTRAL_SHAPE_DEFAULT) ... ) >>> XYZ = np.array([0.95035049, 1.0, 1.08935705]) >>> XYZ_to_CCT_Ohno2013(XYZ, cmfs) array([ 6.5074399...e+03, 3.2236914...e-03])