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Knowing this, we can modify the N-Convex algorithm covered earlier such that the candidate weights are given by the barycentric coordinates of the input pixel after being projected onto a triangle whose vertices are given by three surrounding colours, abandoning the IDW method altogether1. This results in a fast and exact minimisation of , with the final dither being closer in quality to that of Knoll’s Algorithm.
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变化五:竞争格局从“三足鼎立”到“多元博弈”传统存储行业长期由三星、SK 海力士、美光三家主导 DRAM,三星、铠侠、西部数据、美光、SK 海力士主导 NAND,形成稳定的 “三足鼎立 + 五强割据” 格局,定价权、技术路线、产能节奏高度集中。但 2025—2026 年,随着 AI 需求爆发、先进封装独立成链、本土厂商技术突破,行业正式进入多极竞争的全新博弈阶段。