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Incremental Voronoi sets for instant stippling

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Abstract

This paper presents a fast digital stippling algorithm, which makes a fair balance on result quality and computational efficiency. The algorithm is based on precomputed blue noise point sets constructed by incremental Voronoi sets (IVS) and a real-time parallelized rejection strategy. The proposed technique is readily extended to generate multi-tone-level or multi-nib-size stippling results of increased pleasure visual impressions with smooth tone transition. The IVS can also be regressed to generate blue noise masks for digital halftoning.

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Acknowledgements

This study is funded by UGC (Grant number 4055060), joint NSFC grants (no. 61379087, 61602183).

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Authors and Affiliations

  1. University of Chinese Academy of Sciences, Beijing, China

    Lei Ma

  2. State Key Laboratory of Computer Science, Institue of Software Chinese Academy of Sciences, Beijing, China

    Lei Ma & Yanyun Chen

  3. Chinese University of Hong Kong, Hong Kong, China

    Yinling Qian & Hanqiu Sun

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  1. Lei Ma
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Correspondence to Lei Ma.

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Special thanks to Wenjuan Shen.

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Ma, L., Chen, Y., Qian, Y. et al. Incremental Voronoi sets for instant stippling. Vis Comput 34, 863–873 (2018). https://doi.org/10.1007/s00371-018-1541-7

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