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Scale-dependent and example-based grayscale stippling

机译:基于比例和基于示例的灰度点画

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We present an example-based approach to synthesizing stipple illustrations for static 2D images that produces scale-dependent results appropriate for an intended spatial output size and resolution. We show how treating stippling as a grayscale process allows us to both produce on-screen output and to achieve stipple merging at medium tonal ranges. At the same time we can also produce images with high spatial and low color resolution for print reproduction. In addition, we discuss how to incorporate high-level illustration considerations into the stippling process based on discussions with and observations of a stipple artist. Also, certain features such as edges can be extracted and used to control the placement of dots to improve the result. The implementation of the technique is based on a fast method for distributing dots using halftoning and can be used to create stipple images interactively. We describe both a GPU implementation of the basic algorithm that creates stipple images in real-time for large images and an extended CPU method that allows a finer control of the output at interactive rates.
机译:我们提出了一种基于示例的方法来为静态2D图像合成点画插图,该点画插图会产生与比例相关的结果,适合于预期的空间输出大小和分辨率。我们展示了将点画作为灰度处理如何使我们既可以产生屏幕输出,又可以在中等色调范围内实现点画合并。同时,我们还可以产生具有高空间分辨率和低色彩分辨率的图像,以进行打印复制。此外,我们将根据点画艺术家的讨论和观察,讨论如何将高级插图注意事项纳入点画过程。而且,某些特征(例如边缘)可以提取出来并用于控制点的位置以改善结果。该技术的实现基于一种使用半色调分布点的快速方法,可用于交互式创建点画图像。我们描述了针对大型图像实时创建点画图像的基本算法的GPU实现,以及允许以交互速率更好地控制输出的扩展CPU方法。

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