colour.models.log_encoding_ALEXALogC

colour.models.log_encoding_ALEXALogC(x: FloatingOrArrayLike, firmware: Union[Literal['SUP 2.x', 'SUP 3.x'], str] = 'SUP 3.x', method: Union[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) → FloatingOrNDArray[source]

Define the ARRI ALEXA Log C log encoding curve / opto-electronic transfer function.

Parameters

  • x (FloatingOrArrayLike) – Linear data \(x\).

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

  • method (Union[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

ARRI ALEXA Log C encoded data \(t\).

Return type

numpy.floating or numpy.ndarray

References

[ARRI12]

Notes

Domain

Scale - Reference

Scale - 1

x

[0, 1]

[0, 1]

Range

Scale - Reference

Scale - 1

t

[0, 1]

[0, 1]

Examples

>>> log_encoding_ALEXALogC(0.18)  
0.3910068...

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