Updated theory (code is not up to date with theory yet)
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@@ -23,7 +23,30 @@ Optional arguments :
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It gives you something like this :
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## Theory
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Generate a matrix of random 3-tuples as following :
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Initialize with a starting color, a slope vector and a variation vector :
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![V_{0,0}=\[r_{0,0},g_{0,0},b_{0,0}\]](https://latex.codecogs.com/svg.latex?%5CLARGE%20V_%7B0%2C0%7D%3D%5Br_%7B0%2C0%7D%2Cg_%7B0%2C0%7D%2Cb_%7B0%2C0%7D%5D)
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![S=\[s_{x},s_{y}\],s_{x}+s_{y}=1](https://latex.codecogs.com/svg.latex?%5CLARGE%20S%3D%5C%5Bs_%7Bx%7D%2Cs_%7By%7D%5C%5D%2Cs_%7Bx%7D+s_%7By%7D%3D1)
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![K=\[k_{r},k_{g},k_{b}\]](https://latex.codecogs.com/svg.latex?%5CLARGE%20K%3D%5C%5Bk_%7Br%7D%2Ck_%7Bg%7D%2Ck_%7Bb%7D%5C%5D)
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Given a sigma function as following :
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Compute each pixels with :
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Compute output 3-tuples as color vectors and you have your final image.
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![V_{x,y}=\[r_{x,y},g_{x,y},b_{x,y}\]](https://latex.codecogs.com/svg.latex?%5CLARGE%20V_%7Bx%2Cy%7D%3D%5C%5Br_%7Bx%2Cy%7D%2Cg_%7Bx%2Cy%7D%2Cb_%7Bx%2Cy%7D%5C%5D)
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