colour.models.log_encoding_FLog2#
- colour.models.log_encoding_FLog2(in_r: ArrayLike, bit_depth: int = 10, out_normalised_code_value: bool = True, in_reflection: bool = True, constants: Structure = CONSTANTS_FLOG2) NDArrayFloat [source]#
Define the Fujifilm F-Log2 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-Log2 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-Log2 constants.
- Returns:
Non-linear data \(out\).
- Return type:
Notes
Domain
Scale - Reference
Scale - 1
in_r
[0, 1]
[0, 1]
Range
Scale - Reference
Scale - 1
out_r
[0, 1]
[0, 1]
References
Examples
>>> log_encoding_FLog2(0.18) 0.3910072...
The values of 2-2. F-Log2 Code Value table in [Fujifilm22b] are obtained as follows:
>>> x = np.array([0, 18, 90]) / 100 >>> np.around(log_encoding_FLog2(x, 10, False) * 100, 1) array([ 3.5, 38.4, 57.8]) >>> np.around(log_encoding_FLog2(x) * (2**10 - 1)).astype(np.int_) array([ 95, 400, 570])