colour.XYZ_to_Yrg

colour.XYZ_to_Yrg(XYZ: Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 1]) → Annotated[ndarray[tuple[Any, ...], dtype[float16 | float32 | float64]], 1]

Convert from CIE XYZ tristimulus values to Kirk (2019) Yrg colourspace.

Parameters:

XYZ (Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 1]) – CIE XYZ tristimulus values.

Returns:

Kirk (2019) Yrg colourspace array with \(Y\) luminance, \(r\) redness, and \(g\) greenness components.

Return type:

numpy.ndarray

Notes

Domain	Scale - Reference	Scale - 1
XYZ	1	1

Range	Scale - Reference	Scale - 1
Yrg	1	1

References

[Kir19]

Examples

>>> import numpy as np
>>> XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
>>> XYZ_to_Yrg(XYZ)
array([ 0.1313780...,  0.4903764...,  0.3777738...])