Improvement of Moving Image Quality on AC-PDP by Rough Set Based Dynamic False Contour Reduction

  • Gwanggil Jeon
  • Marco Anisetti
  • Kyoungjoon Park
  • Valerio Bellandi
  • Jechang Jeong
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4482)

Abstract

Plasma display panel (PDP) has become popular as high-end television monitors. In PDPs, gray levels are expressed by the pulse-number modulation technique to generate gradation display. Although this method can display still image faithfully, it can yield annoying distortions when displaying moving images. In order to reduce the dynamic false contour and develop moving picture quality, we propose a rough set based effective subfield optimization technique. Simulation results show that the dynamic false contour can be effectively reduced by rough set based subfield optimization algorithm.

Keywords

Plasma display panel (PDP) motion picture distortion dynamic false contour (DFC) temporal artifact gray scale rough set theory 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Xu, B.L., et al.: Improvement in PDP image quality by suppressing dynamic false contour while maintaining high brightness. In: SID Dig. 2003, pp. 455–457 (2003)Google Scholar
  2. 2.
    Liu, Z.-J., Liu, C.-L., Liang, Z.-H.: An adaptive subfield coding method for driving AC PDPs. IEEE Trans. Plasma Science 34, 397–402 (2006)CrossRefGoogle Scholar
  3. 3.
    Weitbruch, S., et al.: picture quality enhancement based on human visual system relevant features. In: Proc. IDW’00, pp. 699–702 (2000)Google Scholar
  4. 4.
    Yamaguchi, T., Mikoshiba, S.: An improvement of PDP picture quality by using a modified-binary-coded scheme with a 3D scattering of motional artifacts. IEICE Trans. Electron. E80-C(8), 1079–1085 (1997)Google Scholar
  5. 5.
    Park, S.-H., Kim, C.-W.: An optimum selection of subfield pattern for plasma displays based on genetic algorithm. IEICE Trans. Electron. 84-C(11), 1659–1666 (2001)Google Scholar
  6. 6.
    Odor, G., et al.: Effective Monte Carlo simulation on System-V massively parallel associative string processing architecture. In: Proc. PDP ’99, pp. 281–288 (1999)Google Scholar
  7. 7.
    Pawlak, Z.: Rough Sets - Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht (1991)MATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Gwanggil Jeon
    • 1
  • Marco Anisetti
    • 2
  • Kyoungjoon Park
    • 1
  • Valerio Bellandi
    • 2
  • Jechang Jeong
    • 1
  1. 1.Department of Electronics and Computer Engineering, Hanyang University, 17 Haengdang-dong, Seongdong-gu, SeoulKorea
  2. 2.Department of Information Technology, University of Milan, via Bramante, 65 – 26013, Crema (CR)Italy

Personalised recommendations