colour.Hunter_Lab_to_XYZ#

colour.Hunter_Lab_to_XYZ(Lab: ArrayLike, XYZ_n: ArrayLike = TVS_ILLUMINANTS_HUNTERLAB['CIE 1931 2 Degree Standard Observer']['D65'].XYZ_n, K_ab: ArrayLike = TVS_ILLUMINANTS_HUNTERLAB['CIE 1931 2 Degree Standard Observer']['D65'].K_ab) numpy.ndarray[source]#

Convert from Hunter L,a,b colour scale to CIE XYZ tristimulus values.

Parameters
  • Lab (ArrayLike) – Hunter L,a,b colour scale array.

  • XYZ_n (ArrayLike) – Reference illuminant tristimulus values.

  • K_ab (ArrayLike) – Reference illuminant chromaticity coefficients, if K_ab is set to None it will be computed using colour.XYZ_to_K_ab_HunterLab1966().

Returns

CIE XYZ tristimulus values.

Return type

numpy.ndarray

Notes

Domain

Scale - Reference

Scale - 1

Lab

L : [0, 100]

a : [-100, 100]

b : [-100, 100]

L : [0, 1]

a : [-1, 1]

b : [-1, 1]

XYZ_n

[0, 100]

[0, 1]

Range

Scale - Reference

Scale - 1

XYZ

[0, 100]

[0, 1]

References

[HunterLab08a]

Examples

>>> Lab = np.array([34.92452577, 47.06189858, 14.38615107])
>>> D65 = TVS_ILLUMINANTS_HUNTERLAB[
...     'CIE 1931 2 Degree Standard Observer']['D65']
>>> Hunter_Lab_to_XYZ(Lab, D65.XYZ_n, D65.K_ab)
array([ 20.654008,  12.197225,   5.136952])