colour.models.log_decoding_FLog2

colour.models.log_decoding_FLog2(out_r: ArrayLike, bit_depth: int = 10, in_normalised_code_value: bool = True, out_reflection: bool = True, constants: Structure = CONSTANTS_FLOG2) → NDArrayFloat

Define the Fujifilm F-Log2 log decoding curve / electro-optical transfer function.

Parameters:

• out_r (ArrayLike) – Non-linear data \(out\).

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

• in_normalised_code_value (bool) – Whether the non-linear Fujifilm F-Log2 data \(out\) is encoded as normalised code values.

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

• constants (Structure) – Fujifilm F-Log2 constants.

Returns:

Linear reflection data :math`in`.

Return type:

numpy.floating or numpy.ndarray

Notes

Domain	Scale - Reference	Scale - 1
out_r	[0, 1]	[0, 1]

Range	Scale - Reference	Scale - 1
in_r	[0, 1]	[0, 1]

References

[Fujifilm22b]

Examples

>>> log_decoding_FLog2(0.39100724189123004)  
0.1799999...