The challenge was clear: achieve a quantum leap in speed while preserving extreme flexibility, minimal storage, regional map support, and dynamic update capabilities. Standard Highway Hierarchies were a starting point, but we needed something more – a uniquely OsmAnd solution.
If the number of candidates for each pixel grows too large (as is common in algorithms such as Knoll and Yliluoma) then sorting the candidate list for every pixel can have a significant impact on performance. A solution is to instead sort the palette in advance and keep a separate tally of weights for every palette colour. The weights can then be accumulated by iterating linearly through the tally of sorted colours.
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