colour.models.oetf_inverse_H273_LogSqrt

colour.models.oetf_inverse_H273_LogSqrt(V: 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]

Apply the Recommendation ITU-T H.273 inverse opto-electronic transfer function (OETF) for logarithmic encoding (100*Sqrt(10):1 range).

Parameters:

V (Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 1]) – Electrical signal \(V\).

Returns:

Scene luminance \(L_c\).

Return type:

numpy.ndarray

Notes

Domain	Scale - Reference	Scale - 1
V	1	1

Range	Scale - Reference	Scale - 1
L_c	1	1

References

[InternationalTUnion21]

Warning

• The function is clamped to domain [sqrt(10) / 1000, np.inf].

Examples

>>> oetf_inverse_H273_LogSqrt(0.702109002041)
np.float64(0.1799999999...)
>>> oetf_inverse_H273_LogSqrt(0.0)
np.float64(0.00316227766...)
>>> oetf_inverse_H273_LogSqrt(1.0)
np.float64(1.0)