Hello. I have recently been spending a lot of time dithering. In image processing, dithering is the act of applying intentional perturbations or noise in order to compensate for the information lost during colour reduction, also known as quantisation. In particular, I’ve become very interested in a specific type of dithering and its application to colour palettes of arbitrary or irregular colour distributions. Before going into detail however, let’s briefly review the basics of image dithering.
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My younger daughter, Nava, turned two last week. Among her favorite phrases are “No, Nava do it” and “what da HECK.” Her favorite music, by a wide margin, is Elton John. And her favorite gesture is a hearty, full-body nod. She deploys this repertoire with enormous humor, precision, and grace.
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Implementations have had to develop their own strategies for dealing with this. Firefox initially used a linked-list approach that led to O(n) memory growth proportional to the consumption rate difference. In Cloudflare Workers, we opted to implement a shared buffer model where backpressure is signaled by the slowest consumer rather than the fastest.
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