colour.XYZ_to_LLAB¶
-
colour.
XYZ_to_LLAB
(XYZ, XYZ_0, Y_b, L, surround=LLAB_InductionFactors(D=1, F_S=3, F_L=1, F_C=1))[source]¶ Computes the :math:`LLAB(l:c)` colour appearance model correlates.
- Parameters
XYZ (array_like) – CIE XYZ tristimulus values of test sample / stimulus.
XYZ_0 (array_like) – CIE XYZ tristimulus values of reference white.
Y_b (numeric or array_like) – Luminance factor of the background in \(cd/m^2\).
L (numeric or array_like) – Absolute luminance \(L\) of reference white in \(cd/m^2\).
surround (LLAB_InductionFactors, optional) – Surround viewing conditions induction factors.
- Returns
:math:`LLAB(l:c)` colour appearance model specification.
- Return type
Notes
Domain
Scale - Reference
Scale - 1
XYZ
[0, 100]
[0, 1]
XYZ_0
[0, 100]
[0, 1]
Range
Scale - Reference
Scale - 1
LLAB_Specification.h
[0, 360]
[0, 1]
References
Examples
>>> XYZ = np.array([19.01, 20.00, 21.78]) >>> XYZ_0 = np.array([95.05, 100.00, 108.88]) >>> Y_b = 20.0 >>> L = 318.31 >>> surround = LLAB_VIEWING_CONDITIONS['ref_average_4_minus'] >>> XYZ_to_LLAB(XYZ, XYZ_0, Y_b, L, surround) LLAB_Specification(J=37.3668650..., C=0.0089496..., h=270..., s=0.0002395..., M=0.0190185..., HC=None, a=..., b=-0.0190185...)