colour.XYZ_to_Nayatani95¶
-
colour.
XYZ_to_Nayatani95
(XYZ, XYZ_n, Y_o, E_o, E_or, n=1)[source]¶ Computes the Nayatani (1995) colour appearance model correlates.
Parameters: - XYZ (array_like) – CIE XYZ tristimulus values of test sample / stimulus.
- XYZ_n (array_like) – CIE XYZ tristimulus values of reference white.
- Y_o (numeric or array_like) – Luminance factor \(Y_o\) of achromatic background as percentage normalised to domain [0.18, 1.0] in ‘Reference’ domain-range scale.
- E_o (numeric or array_like) – Illuminance \(E_o\) of the viewing field in lux.
- E_or (numeric or array_like) – Normalising illuminance \(E_{or}\) in lux usually normalised to domain [1000, 3000].
- n (numeric or array_like, optional) – Noise term used in the non linear chromatic adaptation model.
Returns: Nayatani (1995) colour appearance model specification.
Return type: Notes
Domain Scale - Reference Scale - 1 XYZ
[0, 100] [0, 1] XYZ_n
[0, 100] [0, 1] Range Scale - Reference Scale - 1 Nayatani95_Specification.h
[0, 360] [0, 1] References
Examples
>>> XYZ = np.array([19.01, 20.00, 21.78]) >>> XYZ_n = np.array([95.05, 100.00, 108.88]) >>> Y_o = 20.0 >>> E_o = 5000.0 >>> E_or = 1000.0 >>> XYZ_to_Nayatani95(XYZ, XYZ_n, Y_o, E_o, E_or) # doctest: +ELLIPSIS Nayatani95_Specification(L_star_P=49.9998829..., C=0.0133550..., h=257.5232268..., s=0.0133550..., Q=62.6266734..., M=0.0167262..., H=None, HC=None, L_star_N=50.0039154...)