| I find it interesting that QOI avoids any kind of Huffman style coding. Huffman encoding lets you store frequently used values in fewer bits than rarely occurring values, but the cost of a naïve implementation is a branch on every encoded bit. You can mitigate this by making a state machine keyed by "accumulated prefix bits" and as many bits as you want to process in a whack, these tables will blow out your L1 data cache and trash a lot of your L2 cache as well.¹ The "opcode" strategy in QOI is going to give you branches, but they appear nearly perfectly predictable for common image types², so that helps. It has a table of recent colors, but that is only of a few cache lines. In all, it seems a better fit for the deep pipelines and wildly varying access speeds across cache and memory layers which we find today. ␄ ¹ I don't think it ever made it into a paper, but in the mid-80s, when the best our Vax ethernet adapters could do was ~3Mbps I was getting about 10Mbps of decompressed 12 bit monochrome imagery out of a ~1.3MIP computer using this technique. ² I also wouldn't be surprised if this statement is false. It just seems that for continuous tone images one of RGBA, DIFF, or LUMA is going to win for any given region of a scan line. |
(I write comments with footnotes in the same style as you, but use “—⁂—” as the separator, via Compose+h+r (name from the HTML tag horizontal rule). Good fun being able to use Compose+E+O+T, Compose+E+T+X and Compose+F+F in this comment; I added the full set to my .XCompose years ago.)