A while back I started experimenting with some procedural techniques, more precisely I wanted to create a procedural terrain using Perlin Noise. I had never implemented Perlin Noise before so Google to the rescue. The first decent article I came across was this tutorial. Without going into too much detail, it explained how I should combine noise functions with different frequencies and amplitudes to produce “Perlin Noise”.

My first attempt failed, producing complete random noise. After confirming that I followed the tutorial accurately I set out to find more tutorials. Everything that I found seemed to be similar: combine noise at different frequencies and amplitudes. In the end I did indeed get some working “Perlin Noise”…or so I thought.

It was about a year later and I am in my Honours Graphics class at University one Friday night when my lecturer begins explaining the process that one follows to implement Perlin Noise. At first I thought I could sit back and relax, then I started to realise that I had no idea what my lecturer was talking about. The process was entirely different to what I had learnt! There was no talk of the octaves, frequencies and amplitudes and the methods of combining the noise like I had learnt – needless to say, I was completely confused. At this point I decided that I would take a detailed look into Ken Perlin’s online notes which is where my lecturer got all of his sources from. After wrapping my mind around the algorithm, I continue with Ken’s notes on different methods of applying the noise. One of the strategies that Ken Perlin mentions he calls Fractal Noise – this being the process of recombining the noise produced by the Perlin Noise function in different frequencies and amplitudes – just like I have read before!!

So!! – what many many people on the internet are calling Perlin Noise – is actually not Perlin Noise at all. It is instead the fractal recombination of noise. Furthurmore the noise function that everyone seems to be using is either some small custom random number function or just the programming language’s built-in random number function – meaning that once again that NONE OF IT can in any way be called Perlin Noise.

It seems that some of these tutorials and explanations have been on the internet so l

ong that it has actually convinced a large amount of the population that this fractal combination of noise is what Perlin Noise is – and thus more and more of these tutorials are appearing.

This blunder, this blatant lie is a dishonour to Ken Perlin and his work. The word needs to spread – so share this with everyone you know!!

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