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Incremental Voronoi sets for instant stippling

Incremental Voronoi sets for instant stippling 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Visual Computer Springer Journals

Incremental Voronoi sets for instant stippling

The Visual Computer , Volume 34 (8) – May 14, 2018

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References (47)

Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer-Verlag GmbH Germany, part of Springer Nature
Subject
Computer Science; Computer Graphics; Computer Science, general; Artificial Intelligence (incl. Robotics); Image Processing and Computer Vision
ISSN
0178-2789
eISSN
1432-2315
DOI
10.1007/s00371-018-1541-7
Publisher site
See Article on Publisher Site

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.

Journal

The Visual ComputerSpringer Journals

Published: May 14, 2018

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