colour.models.Izazbz_to_XYZ#

colour.models.Izazbz_to_XYZ(Izazbz: Domain1, constants: Structure | None = None, method: Literal['Safdar 2017', 'Safdar 2021', 'ZCAM'] | str = 'Safdar 2017') → NDArrayFloat[source]#

Convert from \(I_za_zb_z\) colourspace to CIE XYZ tristimulus values.

Parameters:

Izazbz (Domain1) – \(I_za_zb_z\) colourspace array where \(I_z\) is the achromatic response, \(a_z\) is redness-greenness and \(b_z\) is yellowness-blueness.
constants (Structure | None) – \(J_za_zb_z\) colourspace constants.
method (Literal['Safdar 2017', 'Safdar 2021', 'ZCAM'] | str) – Computation method, Safdar 2021 and ZCAM methods are equivalent.

Returns:

CIE XYZ tristimulus values under CIE Standard Illuminant D Series D65.

Return type:

numpy.ndarray

Warning

The underlying SMPTE ST 2084:2014 transfer function is an absolute transfer function.

Notes

The underlying SMPTE ST 2084:2014 transfer function is an absolute transfer function, thus the domain and range values for the Reference and 1 scales are only indicative that the data is not affected by scale transformations. The effective domain of SMPTE ST 2084:2014 inverse electro-optical transfer function (EOTF) is [0.0001, 10000].

Domain	Scale - Reference	Scale - 1
`Izazbz`	1	1

Range	Scale - Reference	Scale - 1
`XYZ`	`UN`	`UN`

References

Examples

>>> Izazbz = np.array([0.01207793, 0.00924302, 0.00526007])
>>> Izazbz_to_XYZ(Izazbz)
array([ 0.2065401...,  0.1219723...,  0.0513696...])