colour.adaptation.chromatic_adaptation_inverse_CMCCAT2000#

Adapt the specified CIE XYZ tristimulus values from reference viewing conditions to test viewing conditions using the inverse CMCCAT2000 chromatic adaptation model.

Parameters:

XYZ_c (Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 100]) – CIE XYZ tristimulus values of the adapted stimulus in the reference viewing conditions.
XYZ_w (Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 100]) – Test viewing condition CIE XYZ tristimulus values of the whitepoint.
XYZ_wr (Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 100]) – Reference viewing condition CIE XYZ tristimulus values of the whitepoint.
L_A1 (ArrayLike) – Luminance of test adapting field \(L_{A1}\) in \(cd/m^2\).
L_A2 (ArrayLike) – Luminance of reference adapting field \(L_{A2}\) in \(cd/m^2\).
surround (InductionFactors_CMCCAT2000) – Surround viewing conditions induction factors.

Returns:

CIE XYZ tristimulus values of the stimulus adapted to the test viewing conditions.

Return type:

numpy.ndarray

Notes

Domain	Scale - Reference	Scale - 1
`XYZ_c`	100	1
`XYZ_w`	100	1
`XYZ_wr`	100	1

Range	Scale - Reference	Scale - 1
`XYZ`	100	1

References

[LLRH02], [WRC12d]

Examples

>>> XYZ_c = np.array([19.53, 23.07, 24.97])
>>> XYZ_w = np.array([111.15, 100.00, 35.20])
>>> XYZ_wr = np.array([94.81, 100.00, 107.30])
>>> L_A1 = 200
>>> L_A2 = 200
>>> chromatic_adaptation_inverse_CMCCAT2000(XYZ_c, XYZ_w, XYZ_wr, L_A1, L_A2)
...
array([ 22.4839876...,  22.7419485...,   8.5393392...])

colour.adaptation.chromatic_adaptation_inverse_CMCCAT2000#

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