Chapter

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

Volume 4482 of the series Lecture Notes in Computer Science pp 459-466

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

  • Gwanggil JeonAffiliated withCarnegie Mellon UniversityDepartment of Electronics and Computer Engineering, Hanyang University, 17 Haengdang-dong, Seongdong-gu, Seoul
  • , Marco AnisettiAffiliated withCarnegie Mellon UniversityDepartment of Information Technology, University of Milan, via Bramante, 65 – 26013, Crema (CR)
  • , Kyoungjoon ParkAffiliated withCarnegie Mellon UniversityDepartment of Electronics and Computer Engineering, Hanyang University, 17 Haengdang-dong, Seongdong-gu, Seoul
  • , Valerio BellandiAffiliated withCarnegie Mellon UniversityDepartment of Information Technology, University of Milan, via Bramante, 65 – 26013, Crema (CR)
  • , Jechang JeongAffiliated withCarnegie Mellon UniversityDepartment of Electronics and Computer Engineering, Hanyang University, 17 Haengdang-dong, Seongdong-gu, Seoul

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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