colour.models.log_decoding_ACEScc#

colour.models.log_decoding_ACEScc(ACEScc: Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 1]) → Annotated[ndarray[tuple[Any, ...], dtype[float16 | float32 | float64]], 1][source]#

Apply the ACEScc log decoding inverse opto-electronic transfer function (OETF).

Parameters:: ACEScc (Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 1]) – ACEScc non-linear encoded value.
Returns:: Linear AP1 colourspace value.
Return type:: numpy.ndarray

Notes

Domain	Scale - Reference	Scale - 1
`ACEScc`	1	1

Range	Scale - Reference	Scale - 1
`lin_AP1`	1	1

References

[TheAoMPAaSciencesScienceaTCouncilAcademyCESACESPSubcommittee14b], [TheAoMPAaSciencesScienceaTCouncilAcademyCESACESPSubcommittee14c], [TheAoMPAaSciencesScienceaTCouncilAcademyCESACESPSubcommittee14a], [TheAoMPAaSciencesScienceaTCouncilAcademyCESACESPSubcommitteea]

Examples

>>> log_decoding_ACEScc(0.413588402492442)
0.1799999...