colour.models.log_encoding_FLog¶
-
colour.models.
log_encoding_FLog
(in_r, bit_depth=10, out_normalised_code_value=True, in_reflection=True, constants={'a': 0.555556, 'b': 0.009468, 'c': 0.344676, 'cut1': 0.00089, 'cut2': 0.100537775223865, 'd': 0.790453, 'e': 8.735631, 'f': 0.092864})[source]¶ Defines the Fujifilm F-Log log encoding curve / opto-electronic transfer function.
- Parameters
in_r (numeric or array_like) – Linear reflection data :math`in`.
bit_depth (int, optional) – Bit depth used for conversion.
out_normalised_code_value (bool, optional) – Whether the non-linear Fujifilm F-Log data \(out\) is encoded as normalised code values.
in_reflection (bool, optional) – Whether the light level :math`in` to a camera is reflection.
constants (Structure, optional) – Fujifilm F-Log constants.
- Returns
Non-linear data \(out\).
- Return type
numeric or 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
Examples
>>> log_encoding_FLog(0.18) 0.4593184...
The values of 2-2. F-Log Code Value table in [Fuj16] 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])