colour.models.log_decoding_VLog#

colour.models.log_decoding_VLog(V_out: ArrayLike, bit_depth: int = 10, in_normalised_code_value: bool = True, out_reflection: bool = True, constants: Structure = CONSTANTS_VLOG) NDArrayFloat[source]#

Define the Panasonic V-Log log decoding curve / electro-optical transfer function.

Parameters:
  • V_out (ArrayLike) – Non-linear data \(V_{out}\).

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

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

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

  • constants (Structure) – Panasonic V-Log constants.

Returns:

Linear reflection data :math`L_{in}`.

Return type:

numpy.ndarray

Notes

Domain

Scale - Reference

Scale - 1

V_out

[0, 1]

[0, 1]

Range

Scale - Reference

Scale - 1

L_in

[0, 1]

[0, 1]

References

[Panasonic14]

Examples

>>> log_decoding_VLog(0.423311448760136)  
0.1799999...