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Structure-Preserving Stippling by Priority-Based Error Diffusion

机译:基于优先级的误差扩散的保留结构点画

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This paper presents a new fast, automatic method for structure aware stippling. The core idea is to concentrate on structure preser vation by using a priority-based scheme that treats extremal stipples first and preferentially assigns positive error to lighter stipples and negative error to darker stipples, emphasizing contrast. We also use a nonlinear spatial function to shrink or exaggerate errors and thus implicitly provide global adjustment of density. Our adjustment re spects contrast and hence allows us to preserve structure even with very low stipple budgets. We also explore a variety of stylization ef fects, including screening and scratchboard, all within the unifying framework of stippling.
机译:本文提出了一种新的快速,自动的结构感知点画方法。核心思想是通过使用基于优先级的方案来专注于结构保留,该方案首先处理末端点刺,并优先将正误差分配给较浅的点刺,并将负误差分配给较深的点刺,从而强调对比度。我们还使用非线性空间函数来缩小或夸大误差,从而隐式提供密度的全局调整。我们的调整需要对比,因此即使在点画预算很低的情况下也可以保留结构。我们还将在点画的统一框架内探索各种样式化效果,包括筛选和草稿板效果。

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