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Authors: Xiaoliang Xiong ; Haoli Fan ; Jie Feng ; Zhihong Liu and Bingfeng Zhou

Affiliation: Peking University, China

Keyword(s): Sampling, Error-Diffusion, Halftoning, Image Vectorization, Blue-noise.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Fundamental Methods and Algorithms ; Geometry and Modeling ; Rendering ; Rendering Algorithms

Abstract: Existing researches on error-diffusion mainly focus on sampling over a single channel of input signal. But there are cases where multiple channels of signal need to be sampled simultaneously while keeping their blue-noise property for each individual channel as well as their superimposition. To solve this problem, we propose a novel discrete sampling algorithm called Multi-Class Error Diffusion (MCED). The algorithm couples multiple processes of error diffusion to maintain a sampling output with blue-noise distribution. The correlation among the classes are considered and a threshold displacement is introduced into each process of error-diffusion for solving the sampling conflicts. To minimize the destruction to the blue-noise property, an optimization method is used to find a set of optimal key threshold displacements. Experiments demonstrate that our MCED algorithm is able to generate satisfactory multi-class sampling output. Several application cases including color image halftoni ng and vectorization are also explored. (More)

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Paper citation in several formats:
Xiong, X., Fan, H., Feng, J., Liu, Z. and Zhou, B. (2016). Multi-Class Error-Diffusion with Blue-noise Property. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - GRAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 28-38. DOI: 10.5220/0005677300260036

@conference{grapp16,
author={Xiaoliang Xiong and Haoli Fan and Jie Feng and Zhihong Liu and Bingfeng Zhou},
title={Multi-Class Error-Diffusion with Blue-noise Property},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - GRAPP},
year={2016},
pages={28-38},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005677300260036},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - GRAPP
TI - Multi-Class Error-Diffusion with Blue-noise Property
SN - 978-989-758-175-5
IS - 2184-4321
AU - Xiong, X.
AU - Fan, H.
AU - Feng, J.
AU - Liu, Z.
AU - Zhou, B.
PY - 2016
SP - 28
EP - 38
DO - 10.5220/0005677300260036
PB - SciTePress