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The N-closest or N-best dithering algorithm is a straightforward solution to the N-candidate problem. As the name suggests, the set of candidates is given by the closest palette colours to the input pixel. To determine their weights, we simply take the inverse of the distance to the input pixel. This is essentially the inverse distance weighting (IDW) method for multivariate interpolation, also known as Shepard’s method. The following pseudocode sketches out a possible implementation:

As quoted above, a TEE is a hardware-backed secure area of the main processor (like ARM TrustZone or Intel SGX). Technically speaking, the TEE is just the hardware fortress (exceptions exist like TrustZone) whilst a Content Decryption Module (CDM) like Google’s Widevine, Apple’s FairPlay, and Microsoft’s PlayReady use the TEE to ensure cryptographic keys and decrypted media buffers are never exposed to the host operating system let alone the user’s browser. For the purposes of this article, I may at times refer to them interchangeably but all you need to know is that they work together and in any case, the host OS can’t whiff any of their farts so to speak.

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