colour.models.log_decoding_MiLog

colour.models.log_decoding_MiLog(P: Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 1], constants: Structure | None = None) → Annotated[ndarray[tuple[Any, ...], dtype[float16 | float32 | float64]], 1]

Apply the Xiaomi Mi-Log Profile log decoding inverse opto-electronic transfer function (OETF).

Parameters:

• P (Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 1]) – Logarithmically encoded value \(P\).

• constants (Structure | None) – Xiaomi Mi-Log Profile constants.

Returns:

Linear reflection data \(R\).

Return type:

numpy.ndarray

References

[ZZLL24]

Notes

• The captured pixel \(P\) value uses floating point encoding normalized to the [0, 1] range.

Domain	Scale - Reference	Scale - 1
P	1	1

Range	Scale - Reference	Scale - 1
R	1	1

Examples

>>> log_decoding_MiLog(0.45345968)
0.1800000...