We can see that the threshold map distributes perturbations more optimally than purely random noise, resulting in a clearer and more detailed final image. The algorithm itself is extremely simple and trivially parallelisable, requiring only a few operations per pixel.
This moves confusable detection from “is this character in confusables.txt?” to “how confusable is this character, in which fonts, and at what threshold should we act?”
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local_port = 8001
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