colour.models.log_decoding_CanonLog2

colour.models.log_decoding_CanonLog2(clog2: Domain1, bit_depth: int = 10, in_normalised_code_value: bool = True, out_reflection: bool = True, method: Literal['v1', 'v1.2'] | str = 'v1.2') → Range1

Apply the Canon Log 2 log decoding inverse opto-electronic transfer function (OETF).

Parameters:

• clog2 (Domain1) – Canon Log 2 non-linear encoded data.

• bit_depth (int) – Bit-depth used for conversion.

• in_normalised_code_value (bool) – Whether the Canon Log 2 non-linear data is encoded with normalised code values.

• out_reflection (bool) – Whether the light level \(x\) to a camera is reflection.

• method (Literal['v1', 'v1.2'] | str) – Computation method.

Returns:

Linear data \(x\).

Return type:

numpy.ndarray

Notes

Domain	Scale - Reference	Scale - 1
clog2	1	1

Range	Scale - Reference	Scale - 1
x	1	1

References

[Canon16], [Canon20]

Examples

>>> log_decoding_CanonLog2(39.825469256149191 / 100)
np.float64(0.1799999...)