Oriented Noise Patterns

Smoothly varying patterns can be generated via inverse Fourier transforms (previously). These can be skewed to have noise at particular wavelengths and angles. Generating several of these fields at different angles then meshing them together (dependent on the image’s local orientation) gives a spatially-varying pattern of noise, which I’ve used for halftoning. Here’s a set of examples with increasing anisotropy, starting with the isotropic version.

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