colour.models.log_encoding_FLog#

colour.models.log_encoding_FLog(in_r: ArrayLike, bit_depth: int = 10, out_normalised_code_value: bool = True, in_reflection: bool = True, constants: Structure = CONSTANTS_FLOG) → NDArrayFloat[source]#

Define the Fujifilm F-Log log encoding curve / opto-electronic transfer function.

Parameters:

in_r (ArrayLike) – Linear reflection data :math`in`.
bit_depth (int) – Bit-depth used for conversion.
out_normalised_code_value (bool) – Whether the non-linear Fujifilm F-Log data \(out\) is encoded as normalised code values.
in_reflection (bool) – Whether the light level :math`in` to a camera is reflection.
constants (Structure) – Fujifilm F-Log constants.

Returns:

Non-linear data \(out\).

Return type:

numpy.ndarray

Notes

Domain	Scale - Reference	Scale - 1
`in_r`	[0, 1]	[0, 1]

Range	Scale - Reference	Scale - 1
`out_r`	[0, 1]	[0, 1]

References

[Fujifilm22a]

Examples

>>> log_encoding_FLog(0.18)  
0.4593184...

The values of 2-2. F-Log Code Value table in [Fujifilm22a] are obtained as follows:

>>> x = np.array([0, 18, 90]) / 100
>>> np.around(log_encoding_FLog(x, 10, False) * 100, 1)
array([  3.5,  46.3,  73.2])
>>> np.around(log_encoding_FLog(x) * (2**10 - 1)).astype(np.int_)
array([ 95, 470, 705])

colour.models.log_encoding_FLog#

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