Multi-Class Anisotropic Electrostatic Halftoning

Electrostatic halftoning, a sampling algorithm based on electrostatic principles, is among the leading methods for stippling, dithering and sampling. However, this approach is only applicable for a single class of dots with a uniform size and colour. In our work, we complement these ideas by advance...

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Vydané v:Computer graphics forum Ročník 31; číslo 6; s. 1924 - 1935
Hlavní autori: Schmaltz, C., Gwosdek, P., Weickert, J.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford, UK Blackwell Publishing Ltd 01.09.2012
Predmet:
Algorithms
Analysis
Anisotropy
Computer graphics
Electrostatics
halftoning
hatching
I.3.3 [Computer Graphics]: Picture/Image Generation-Display Algorithms
I.3.5 [Computer Graphics]: Computational Geometry and Object Modelling-Physically Based Modelling
I.3.8 [Computer Graphics]: Applications-Dithering and Stippling
Image processing systems
multi-class
multi-size
second-order screening
stippling
Studies
ISSN:0167-7055, 1467-8659
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Shrnutí:Electrostatic halftoning, a sampling algorithm based on electrostatic principles, is among the leading methods for stippling, dithering and sampling. However, this approach is only applicable for a single class of dots with a uniform size and colour. In our work, we complement these ideas by advanced features for real‐world applications. We propose a versatile framework for colour halftoning, hatching and multi‐class importance sampling with individual weights. Our novel approach is the first method that globally optimizes the distribution of different objects in varying sizes relative to multiple given density functions. The quality, versatility and adaptability of our approach is demonstrated in various experiments. Electrostatic halftoning, a sampling algorithm based on electrostatic principles, is among the leading methods for stippling, dithering and sampling. However, this approach is only applicable for a single class of dots with a uniform size and colour. In our work, we complement these ideas by advanced features for real‐world applications. We propose a versatile framework for colour halftoning, hatching and multi‐class importance sampling with individual weights. Our novel approach is the first method that globally optimizes the distribution of different objects in varying sizes relative to multiple given density functions. The quality, versatility and adaptability of our approach is demonstrated in various experiments.
Bibliografia:ArticleID:CGF3072
ark:/67375/WNG-697HDKSP-7
istex:B3A2054D5763903F9810D88010D760E88082FEE8
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2012.03072.x