Performs a first order colour fit from given \(m1\) colour array to \(m2\) colour array. The resulting colour fitting matrix is computed using multiple linear regression.
The purpose of that object is for example the matching of two ColorChecker colour rendition charts together.
| Parameters: |
|
|---|---|
| Returns: | Colour fitting matrix. |
| Return type: | ndarray, (3, 3) |
Examples
Colour 0.3>>> m1 = np.array([
... [0.17224810, 0.09170660, 0.06416938],
... [0.49189645, 0.27802050, 0.21923399],
... [0.10999751, 0.18658946, 0.29938611],
... [0.11666120, 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, 0.44545230, 0.06028681],
... [0.61632937, 0.32323906, 0.02437089],
... [0.03016472, 0.06153243, 0.29014596],
... [0.11103655, 0.30553067, 0.08149137],
... [0.41162190, 0.05816656, 0.04845934],
... [0.73339206, 0.53075188, 0.02475212],
... [0.47347718, 0.08834792, 0.30310315],
... [0.00000000, 0.25187016, 0.35062450],
... [0.76809639, 0.78486240, 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],
... [0.39113140, 0.25943419, 0.21266708],
... [0.12824821, 0.18463570, 0.31508023],
... [0.12028974, 0.13455659, 0.07408400],
... [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, 0.12233400, 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, 0.25787860, 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, 0.10424680, 0.10384975],
... [0.04742204, 0.04772203, 0.04914226]])
>>> first_order_colour_fit(m1, m2)
array([[ 0.6982266..., 0.0307162..., 0.1621042...],
[ 0.0689349..., 0.6757961..., 0.1643038...],
[-0.0631495..., 0.0921247..., 0.9713415...]])