A notable resource on the topic of ordered dithering using arbitrary palettes is Joel Yliluoma’s Arbitrary-Palette Positional Dithering Algorithm. One key difference of Yliluoma’s approach is in the use of error metrics beyond the minimisation of . Yliluoma notes that the perceptual or psychovisual quality of the dither must be taken into account in addition to its mathematical accuracy. This is determined by use of some cost function which considers the relationship between a set of candidate colours. The number of candidates, the particular cost function, and the thoroughness of the selection process itself give rise to a number of possible implementations, each offering varying degrees of quality and time complexity.
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当承保越来越依赖红队报告、审计日志与持续监控，保险公司内核会更像红队与审计机构，通过定价与承保确认定义什么样的AI才能被市场接受。Lloyd’s生态里审计型承保与独立的产品化落地，说明这不是概念推演，而是正在发生的市场结构变化。