Filter Feedback

Generative animations based on continuous application of a filter kernel

How it works

First, an image canvas is initialized with random greyscale values. Then, a random 3×3 filter kernel is applied on the image over an over again. In some cases this results in a somewhat stable state, where moving patterns emerge.

Try it out here or read more about automating the process of finding interesting configurations.

Applied
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Filter Feedback
Generative animations based on continuous application of a filter kernel
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