colour.models.log_decoding_ALEXALogC#

colour.models.log_decoding_ALEXALogC(t: 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 decoding curve / electro-optical transfer function.

Parameters
  • t (FloatingOrArrayLike) – ARRI ALEXA Log C encoded data \(t\).

  • 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

Linear data \(x\).

Return type

numpy.floating or 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_ALEXALogC(0.391006832034084)  
0.18...