guide to Perlin noise frequency

x-frequency y-frequency  
0.005 N/A 1dnoise.png1dnoise1.png
0.01 N/A 1dnoise2.png1dnoise5.png
0.02 N/A 1dnoise3.png1dnoise4.png
0.04 N/A 1dnoise6.png1dnoise7.png
0.08 N/A 1dnoise8.png1dnoise9.png
0.16 N/A 1dnoise10.png1dnoise11.png
0.32 N/A 1dnoise12.png1dnoise13.png
0.005 0.005 2dnoise1.png2dnoise2.png
0.01 0.01 2dnoise3.png2dnoise4.png
0.02 0.02 2dnoise5.png2dnoise6.png
0.04 0.04 2dnoise7.png2dnoise8.png
0.08 0.08 2dnoise9.png2dnoise10.png
0.16 0.16 2dnoise11.png2dnoise12.png
0.32 0.32 2dnoise13.png2dnoise14.png
0.02 0.16 2dnoise15.png2dnoise16.png
0.01 0.08 2dnoise17.png2dnoise18.png

[generated using 8 bits of randomness, using a phase of 0.0137; any non-zero phase should give similar results]
[amplitude = noise(i * step * freq + phase)]

The perceived frequency is frequency * step_size. These images were generated with step_size=1 (i.e. each pixel is one step apart). Of course, if your step size is A, divide the values in the table by A to get the same result.

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