colour.models.log_encoding_SLog2#

colour.models.log_encoding_SLog2(x: ArrayLike, bit_depth: int = 10, out_normalised_code_value: bool = True, in_reflection: bool = True) → NDArrayFloat[source]#

Define the Sony S-Log2 log encoding curve / opto-electronic transfer function.

Parameters:

x (ArrayLike) – Reflection or \(IRE / 100\) input light level \(x\) to a camera.
bit_depth (int) – Bit-depth used for conversion.
out_normalised_code_value (bool) – Whether the non-linear Sony S-Log2 data \(y\) is encoded as normalised code values.
in_reflection (bool) – Whether the light level \(x\) to a camera is reflection.

Returns:

Non-linear Sony S-Log2 data \(y\).

Return type:

numpy.ndarray

Notes

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

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

References

[SonyCorporation12]

Examples

>>> log_encoding_SLog2(0.18)  
0.3395325...

The values of IRE and CV of S-Log2 @ISO800 table in [SonyCorporation12] are obtained as follows:

>>> x = np.array([0, 18, 90]) / 100
>>> np.around(log_encoding_SLog2(x, 10, False) * 100).astype(np.int_)
array([ 3, 32, 59])
>>> np.around(log_encoding_SLog2(x) * (2**10 - 1)).astype(np.int_)
array([ 90, 347, 582])