colour.models.log_decoding_Protune

colour.models.log_decoding_Protune(y: 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]

Apply the Protune log decoding inverse opto-electronic transfer function (OETF).

Parameters:

y (Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 1]) – Non-linear encoded data \(y\).

Returns:

Linear data \(x\).

Return type:

numpy.ndarray

Notes

Domain	Scale - Reference	Scale - 1
y	1	1

Range	Scale - Reference	Scale - 1
x	1	1

References

[GoProDM16]

Examples

>>> log_decoding_Protune(0.645623486803636)
0.1...