colour.models.logarithmic_function_camera¶
- colour.models.logarithmic_function_camera(x, style='cameraLinToLog', base=2, log_side_slope=1, lin_side_slope=1, log_side_offset=0, lin_side_offset=0, lin_side_break=0.005, linear_slope=None)[source]¶
Defines the camera logarithmic function.
- Parameters
x (numeric) – Linear/non-linear data to undergo encoding/decoding.
style (unicode, optional) –
{‘cameraLinToLog’, ‘cameraLogToLin’}, Defines the behaviour for the logarithmic function to operate:
cameraLinToLog: Applies a piece-wise function with logarithmic and linear segments on linear values, converting them to non-linear values.
cameraLogToLin: Applies a piece-wise function with logarithmic and linear segments on non-linear values, converting them to linear values.
base (numeric, optional) – Logarithmic base used for the conversion.
log_side_slope (numeric, optional) – Slope (or gain) applied to the log side of the logarithmic segment. The default value is 1.
lin_side_slope (numeric, optional) – Slope of the linear side of the logarithmic segment. The default value is 1.
log_side_offset (numeric, optional) – Offset applied to the log side of the logarithmic segment. The default value is 0.
lin_side_offset (numeric, optional) – Offset applied to the linear side of the logarithmic segment. The default value is 0.
lin_side_break (numeric) – Break-point, defined in linear space, at which the piece-wise function transitions between the logarithmic and linear segments.
linear_slope (numeric, optional) – Slope of the linear portion of the curve. The default value is None.
- Returns
Encoded/Decoded data.
- Return type
numeric or ndarray
- Raises
ValueError – If the style is not defined.
Examples
>>> logarithmic_function_camera( ... 0.18, 'cameraLinToLog') -2.4739311... >>> logarithmic_function_camera( ... -2.4739311883324122, 'cameraLogToLin') 0.1800000...