colour.models.log_decoding_VLog#

colour.models.log_decoding_VLog(V_out: Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 1], bit_depth: int = 10, in_normalised_code_value: bool = True, out_reflection: bool = True, constants: Structure | None = None) Annotated[ndarray[tuple[Any, ...], dtype[float16 | float32 | float64]], 1][source]#

Apply the Panasonic V-Log log decoding inverse opto-electronic transfer

function (OETF).

Parameters:
  • V_out (Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 1]) – Panasonic V-Log mon-linear encoded data \(V_{out}\).

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

  • in_normalised_code_value (bool) – Whether the Panasonic V-Log non-linear data \(V_{out}\) is encoded as normalised code values.

  • out_reflection (bool) – Whether the light level \(L_{in}\) to a camera is reflection.

  • constants (Structure | None) – Panasonic V-Log constants.

Returns:

Linear reflection data \(L_{in}\).

Return type:

numpy.ndarray

Notes

Domain

Scale - Reference

Scale - 1

V_out

1

1

Range

Scale - Reference

Scale - 1

L_in

1

1

References

[Panasonic14]

Examples

>>> log_decoding_VLog(0.423311448760136)
0.1799999...