Rough sets-assisted subfield optimization for alternating current plasma display panel

Gwanggil Jeon; Marco Anisetti; Valerio Bellandi; Ernesto Damiani; Jechang Jeong

doi:10.1109/TCE.2007.4341552

Rough sets-assisted subfield optimization for alternating current plasma display panel

Gwanggil Jeon, Marco Anisetti, Valerio Bellandi, Ernesto Damiani, Jechang Jeong

Electrical Engineering

Research output: Contribution to journal › Article › peer-review

24 Scopus citations

Abstract

Plasma display panel technology employs a pulse-number modulation method to generate the gradation of the display. However, this method can create a false contour distortion when moving pictures are reproduced. In this paper, we propose an effective subfield optimization technique which is based on measuring motion picture distortion. To this end, we propose two applications of the measurements. One is optimum selection of the codewords to improve performance, and the other is the application of rough sets theory to subfield optimization, which reduces computational CPU time. Simulation results show that dynamic false contouring can be effectively reduced by this optimization technique, and the complexity can be minimized using rough sets theory.

Original language	British English
Pages (from-to)	825-832
Number of pages	8
Journal	IEEE Transactions on Consumer Electronics
Volume	53
Issue number	3
DOIs	https://doi.org/10.1109/TCE.2007.4341552
State	Published - Aug 2007

Keywords

Dynamic false contour
Motion picture distortion
Plasma display panel
Rough sets theory

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10.1109/TCE.2007.4341552

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title = "Rough sets-assisted subfield optimization for alternating current plasma display panel",

abstract = "Plasma display panel technology employs a pulse-number modulation method to generate the gradation of the display. However, this method can create a false contour distortion when moving pictures are reproduced. In this paper, we propose an effective subfield optimization technique which is based on measuring motion picture distortion. To this end, we propose two applications of the measurements. One is optimum selection of the codewords to improve performance, and the other is the application of rough sets theory to subfield optimization, which reduces computational CPU time. Simulation results show that dynamic false contouring can be effectively reduced by this optimization technique, and the complexity can be minimized using rough sets theory.",

keywords = "Dynamic false contour, Motion picture distortion, Plasma display panel, Rough sets theory",

author = "Gwanggil Jeon and Marco Anisetti and Valerio Bellandi and Ernesto Damiani and Jechang Jeong",

note = "Funding Information: This work was sponsored by ETRI SoC Industry Promotion Center, Human Resource Development Project for IT SoC Architect.",

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AU - Jeon, Gwanggil

AU - Anisetti, Marco

AU - Bellandi, Valerio

AU - Damiani, Ernesto

AU - Jeong, Jechang

N1 - Funding Information: This work was sponsored by ETRI SoC Industry Promotion Center, Human Resource Development Project for IT SoC Architect.

PY - 2007/8

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N2 - Plasma display panel technology employs a pulse-number modulation method to generate the gradation of the display. However, this method can create a false contour distortion when moving pictures are reproduced. In this paper, we propose an effective subfield optimization technique which is based on measuring motion picture distortion. To this end, we propose two applications of the measurements. One is optimum selection of the codewords to improve performance, and the other is the application of rough sets theory to subfield optimization, which reduces computational CPU time. Simulation results show that dynamic false contouring can be effectively reduced by this optimization technique, and the complexity can be minimized using rough sets theory.

AB - Plasma display panel technology employs a pulse-number modulation method to generate the gradation of the display. However, this method can create a false contour distortion when moving pictures are reproduced. In this paper, we propose an effective subfield optimization technique which is based on measuring motion picture distortion. To this end, we propose two applications of the measurements. One is optimum selection of the codewords to improve performance, and the other is the application of rough sets theory to subfield optimization, which reduces computational CPU time. Simulation results show that dynamic false contouring can be effectively reduced by this optimization technique, and the complexity can be minimized using rough sets theory.

KW - Dynamic false contour

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Rough sets-assisted subfield optimization for alternating current plasma display panel

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Keywords

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