colour.models.log_decoding_ARRILogC3#

colour.models.log_decoding_ARRILogC3(t: ArrayLike, firmware: Literal['SUP 2.x', 'SUP 3.x'] | str = 'SUP 3.x', method: Literal['Linear Scene Exposure Factor', 'Normalised Sensor Signal'] | str = 'Linear Scene Exposure Factor', EI: Literal[160, 200, 250, 320, 400, 500, 640, 800, 1000, 1280, 1600] = 800) → NDArrayFloat[source]#

Define the ARRI LogC3 log decoding curve / electro-optical transfer function.

Parameters:

  • t (ArrayLike) – ARRI LogC3 encoded data \(t\).

  • firmware (Literal['SUP 2.x', 'SUP 3.x'] | str) – Alexa firmware version.

  • method (Literal['Linear Scene Exposure Factor', 'Normalised Sensor Signal'] | str) – Conversion method.

  • EI (Literal[160, 200, 250, 320, 400, 500, 640, 800, 1000, 1280, 1600]) – Exposure Index \(EI\).

Returns:

Linear data \(x\).

Return type:

numpy.ndarray

Notes

Domain

Scale - Reference

Scale - 1

t

[0, 1]

[0, 1]

Range

Scale - Reference

Scale - 1

x

[0, 1]

[0, 1]

References

[ARRI12]

Examples

>>> log_decoding_ARRILogC3(0.391006832034084)  
0.18...