Second, and more cleverly: he implemented a hash verification check on nozzle.js. The exact implementation could have been Subresource Integrity (SRI), a custom self-hashing routine, or a server-side nonce system, but the effect was the same. When the browser (or the application itself) loaded the script, it compared the modified file against a canonical hash and if it did not pass the check, the player would never initialise.
Another way to approach dithering is to analyse the input image in order to make informed decisions about how best to perturb pixel values prior to quantisation. Error-diffusion dithering does this by sequentially taking the quantisation error for the current pixel (the difference between the input value and the quantised value) and distributing it to surrounding pixels in variable proportions according to a diffusion kernel . The result is that input pixel values are perturbed just enough to compensate for the error introduced by previous pixels.
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