Electrostatic Halftoning.

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Bibliographic Details
Title: Electrostatic Halftoning.
Authors: Schmaltz, Christian1 schmaltz@mia.uni-saarland.de, Gwosdek, Pascal1 gwosdek@mia.uni-saarland.de, Bruhn, Andrés1 bruhn@mia.uni-saarland.de, Weickert, Joachim1 weickert@mia.uni-saarland.de
Source: Computer Graphics Forum. Dec2010, Vol. 29 Issue 8, p2313-2327. 15p. 2 Color Photographs, 3 Black and White Photographs, 1 Illustration, 1 Diagram, 4 Graphs.
Subjects: Halftone process, Graphics processing units, Computer graphics, Algorithms, Image processing
Abstract: We introduce a new global approach for image dithering, stippling, screening and sampling. It is inspired by the physical principles of electrostatics. Repelling forces between equally charged particles create a homogeneous distribution in flat areas, while attracting forces from the image brightness values ensure a high approximation quality. Our model is transparent and uses only two intuitive parameters: One steers the granularity of our halftoning approach, and the other its regularity. We evaluate two versions of our algorithm: A discrete version for dithering that ties points to grid positions, as well as a continuous one which does not have this restriction, and can thus be used for stippling or sampling density functions. Our methods create very few visual artefacts, reveal favourable blue-noise behaviour in the frequency domain, and have a lower approximation error under Gaussian convolution than state-of-the-art methods. [ABSTRACT FROM AUTHOR]
Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="AR" term="%22Schmaltz%2C+Christian%22">Schmaltz, Christian</searchLink><relatesTo>1</relatesTo><i> schmaltz@mia.uni-saarland.de</i><br /><searchLink fieldCode="AR" term="%22Gwosdek%2C+Pascal%22">Gwosdek, Pascal</searchLink><relatesTo>1</relatesTo><i> gwosdek@mia.uni-saarland.de</i><br /><searchLink fieldCode="AR" term="%22Bruhn%2C+Andrés%22">Bruhn, Andrés</searchLink><relatesTo>1</relatesTo><i> bruhn@mia.uni-saarland.de</i><br /><searchLink fieldCode="AR" term="%22Weickert%2C+Joachim%22">Weickert, Joachim</searchLink><relatesTo>1</relatesTo><i> weickert@mia.uni-saarland.de</i>
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  Data: <searchLink fieldCode="JN" term="%22Computer+Graphics+Forum%22">Computer Graphics Forum</searchLink>. Dec2010, Vol. 29 Issue 8, p2313-2327. 15p. 2 Color Photographs, 3 Black and White Photographs, 1 Illustration, 1 Diagram, 4 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Halftone+process%22">Halftone process</searchLink><br /><searchLink fieldCode="DE" term="%22Graphics+processing+units%22">Graphics processing units</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+graphics%22">Computer graphics</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink>
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  Data: We introduce a new global approach for image dithering, stippling, screening and sampling. It is inspired by the physical principles of electrostatics. Repelling forces between equally charged particles create a homogeneous distribution in flat areas, while attracting forces from the image brightness values ensure a high approximation quality. Our model is transparent and uses only two intuitive parameters: One steers the granularity of our halftoning approach, and the other its regularity. We evaluate two versions of our algorithm: A discrete version for dithering that ties points to grid positions, as well as a continuous one which does not have this restriction, and can thus be used for stippling or sampling density functions. Our methods create very few visual artefacts, reveal favourable blue-noise behaviour in the frequency domain, and have a lower approximation error under Gaussian convolution than state-of-the-art methods. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1111/j.1467-8659.2010.01716.x
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 2313
    Subjects:
      – SubjectFull: Halftone process
        Type: general
      – SubjectFull: Graphics processing units
        Type: general
      – SubjectFull: Computer graphics
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      – SubjectFull: Algorithms
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      – SubjectFull: Image processing
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      – TitleFull: Electrostatic Halftoning.
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            – D: 01
              M: 12
              Text: Dec2010
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              Y: 2010
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