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Distortion-Free of General Information with Edge Enhanced Error Diffusion Halftoning

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Computational Science and Its Applications – ICCSA 2004 (ICCSA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3046))

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Abstract

The error diffusion method is good for reconstructing continuous tones of an image to bilevel tones. However, the reconstruction of edge information by the error diffusion is represented as weak when the power spectrum is analyzed for display error. In this paper, we present an edge enhanced error diffusion method to preprocess original images to achieve an enhancement for the edge information. The preprocessing algorithm consists of two processes. First, the value of difference between the current pixel and the local average of surrounding pixels in the original image is obtained. Second, weighting function is composed by the magnitude and the sign of the local average. To confirm the effect of proposed method, the method is compared with the standard error diffusion and conventional edge enhanced error diffusion methods by measuring various objective measuring criteria including the radially averaged power spectrum density (RAPSD) for display error. The results of comparison demonstrate the superiority of the proposed method over the conventional ones.

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Author information

Authors and Affiliations

  1. School of Electronics, Telecommunication and Computer Engineering, Hankuk Aviation University, 200-1, Hwajeon-dong, Deokyang-gu, Koyang-city, Kyonggi-do, 412-791, Korea

    Byong-Won Hwang & Tae-Seung Lee

  2. Agency for Defense Development, Yusoung, P.O. Box 35, Yusoung-gu, Daejeon-city, Korea

    Tae-Ha Kang

Authors
  1. Byong-Won Hwang
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  2. Tae-Ha Kang
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  3. Tae-Seung Lee
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Editor information

Editors and Affiliations

  1. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganá

  2. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  5. OptimaNumerics Ltd., Cathedral House, 23-31 Waring Street, BT1 2DX, Belfast, UK

    C. J. Kenneth Tan

  6. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

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© 2004 Springer-Verlag Berlin Heidelberg

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Hwang, BW., Kang, TH., Lee, TS. (2004). Distortion-Free of General Information with Edge Enhanced Error Diffusion Halftoning. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24768-5_30

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  • DOI: https://doi.org/10.1007/978-3-540-24768-5_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22060-2

  • Online ISBN: 978-3-540-24768-5

  • eBook Packages: Springer Book Archive

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