colour.models.Yrg_to_LMS

colour.models.Yrg_to_LMS(Yrg: 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 Kirk (2019) Yrg colourspace to LMS cone fundamentals colourspace.

Parameters:

Yrg (Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 1]) – Kirk (2019) Yrg colourspace array with \(Y\) luminance, \(r\) redness, and \(g\) greenness components.

Returns:

LMS cone fundamentals colourspace values.

Return type:

numpy.ndarray

Notes

Domain	Scale - Reference	Scale - 1
Yrg	1	1

Range	Scale - Reference	Scale - 1
LMS	1	1

References

[Kir19]

Examples

>>> import numpy as np
>>> Yrg = np.array([0.13137801, 0.49037644, 0.37777391])
>>> Yrg_to_LMS(Yrg)
array([ 0.1563929...,  0.0674150...,  0.0328213...])