In effect, we add small higher-frequency variation on top of low-frequency pattern. Then, this squeezed pattern is multiplied by some value (less than 1) and added to first pattern. Better noise algorithms also rotate and/or translate noise pattern at this step, in order to break up regularities. In this way, noise pattern is squeezed f times in both directons. The simplest formula for this is n2(x,y)=n1(x f,yf). Next, we take this noise and "squeeze" it, increasing its frequency. The result at this stage looks like this: Usually, this is achieved by calculation pseudo-random values at points with integer coordinates, and the interpolating these values somehow. It is generated like this:įirst, we have some sort of smooth random noise. ![]() Your example images look a lot like pink noise.
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