Performs a first order colour fit from given \(m2\) colour matrix to \(m1\) colour matrix. The resulting colour matrix is calculated using multiple linear regression.
The purpose of that object is for example matching of two ColorChecker colour rendition charts together.
Parameters: |
|
---|---|
Returns: | Fitting colour matrix. |
Return type: | ndarray, (3, 3) |
Examples
>>> m1 = np.array([
... [0.1722481, 0.0917066, 0.06416938],
... [0.49189645, 0.2780205, 0.21923399],
... [0.10999751, 0.18658946, 0.29938611],
... [0.1166612, 0.14327905, 0.05713804],
... [0.18988879, 0.18227649, 0.36056247],
... [0.12501329, 0.42223442, 0.37027445],
... [0.64785606, 0.22396782, 0.03365194],
... [0.06761093, 0.11076896, 0.39779139],
... [0.49101797, 0.09448929, 0.11623839],
... [0.11622386, 0.04425753, 0.14469986],
... [0.36867946, 0.4454523, 0.06028681],
... [0.61632937, 0.32323906, 0.02437089],
... [0.03016472, 0.06153243, 0.29014596],
... [0.11103655, 0.30553067, 0.08149137],
... [0.4116219, 0.05816656, 0.04845934],
... [0.73339206, 0.53075188, 0.02475212],
... [0.47347718, 0.08834792, 0.30310315],
... [0., 0.25187016, 0.3506245],
... [0.76809639, 0.7848624, 0.77808297],
... [0.53822392, 0.54307997, 0.54710883],
... [0.35458526, 0.35318419, 0.35524431],
... [0.17976704, 0.18000531, 0.17991488],
... [0.09351417, 0.09510603, 0.09675027],
... [0.03405071, 0.03295077, 0.03702047]])
>>> m2 = np.array([
... [0.15579559, 0.09715755, 0.07514556],
... [0.3911314, 0.25943419, 0.21266708],
... [0.12824821, 0.1846357, 0.31508023],
... [0.12028974, 0.13455659, 0.074084],
... [0.19368988, 0.21158946, 0.37955964],
... [0.19957425, 0.36085439, 0.40678123],
... [0.48896605, 0.20691688, 0.05816533],
... [0.09775522, 0.16710693, 0.47147724],
... [0.39358649, 0.122334, 0.10526425],
... [0.10780332, 0.07258529, 0.16151473],
... [0.27502671, 0.34705454, 0.09728099],
... [0.43980441, 0.26880559, 0.05430533],
... [0.05887212, 0.11126272, 0.38552469],
... [0.12705825, 0.2578786, 0.13566464],
... [0.35612929, 0.07933258, 0.05118732],
... [0.48131976, 0.42082843, 0.07120612],
... [0.34665585, 0.15170714, 0.24969804],
... [0.08261116, 0.24588716, 0.48707733],
... [0.66054904, 0.65941137, 0.66376412],
... [0.48051509, 0.47870296, 0.48230082],
... [0.33045354, 0.32904184, 0.33228886],
... [0.18001305, 0.17978567, 0.18004416],
... [0.10283975, 0.1042468, 0.10384975],
... [0.04742204, 0.04772203, 0.04914226]])
>>> first_order_colour_fit(m1, m2)
array([[ 1.4043128..., 0.0112806..., -0.2029710...],
[-0.0998911..., 1.5012214..., -0.1856479...],
[ 0.2248369..., -0.0767236..., 1.0496013...]])