colour.models.log_encoding_LLog

colour.models.log_encoding_LLog(LSR: Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 1], bit_depth: int = 10, out_normalised_code_value: bool = True, in_reflection: bool = True, constants: Structure | None = None) → Annotated[ndarray[tuple[Any, ...], dtype[float16 | float32 | float64]], 1]

Apply the Leica L-Log log encoding opto-electronic transfer function (OETF).

Parameters:

• LSR (Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 1]) – Linear scene reflection \(LSR\) values.

• bit_depth (int) – Bit-depth used for conversion.

• out_normalised_code_value (bool) – Whether the Leica L-Log non-linear data \(L-Log\) is encoded as normalised code values.

• in_reflection (bool) – Whether the light level \(in\) to a camera is reflection.

• constants (Structure | None) – Leica L-Log constants.

Returns:

L-Log 10-bit equivalent code value \(L-Log\).

Return type:

numpy.ndarray

Notes

Domain	Scale - Reference	Scale - 1
LSR	1	1

Range	Scale - Reference	Scale - 1
LLog	1	1

References

[LeicaCAG22]

Examples

>>> log_encoding_LLog(0.18)
0.4353139...