Multi-class blue noise sampling

  title={Multi-class blue noise sampling},
  author={Li-Yi Wei},
  journal={ACM Trans. Graph.},
Sampling is a core process for a variety of graphics applications. Among existing sampling methods, blue noise sampling remains popular thanks to its spatial uniformity and absence of aliasing artifacts. However, research so far has been mainly focused on blue noise sampling with a single class of samples. This could be insufficient for common natural as well as man-made phenomena requiring multiple classes of samples, such as object placement, imaging sensors, and stippling patterns. We… CONTINUE READING
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