Spatio-temporal edge-based median filtering for deinterlacing

Hyo Sub Oh; Yoon Kim; You Young Jung; Aldo W. Morales; Sung Jea Ko

doi:10.1109/ICCE.2000.854493

Spatio-temporal edge-based median filtering for deinterlacing

Hyo Sub Oh, Yoon Kim, You Young Jung, Aldo W. Morales, Sung Jea Ko

School of Electrical Engineering

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

61 Citations (Scopus)

Abstract

In this paper, we propose a new computationally efficient deinterlacing algorithm which shows effective visual performance. In the proposed scheme, correlation dependent interpolation and line doubling schemes are utilized separately for the low frequency and high frequency components of the 2-D input signal. Computer simulation results indicate that the proposed algorithm shows better visual performance than conventional deinterlacing algorithms.

Original language	English
Pages (from-to)	52-53
Number of pages	2
Journal	Digest of Technical Papers - IEEE International Conference on Consumer Electronics
DOIs	https://doi.org/10.1109/ICCE.2000.854493
Publication status	Published - 2000

Bibliographical note

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Copyright 2017 Elsevier B.V., All rights reserved.

ASJC Scopus subject areas

Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

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10.1109/ICCE.2000.854493

Cite this

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title = "Spatio-temporal edge-based median filtering for deinterlacing",

abstract = "In this paper, we propose a new computationally efficient deinterlacing algorithm which shows effective visual performance. In the proposed scheme, correlation dependent interpolation and line doubling schemes are utilized separately for the low frequency and high frequency components of the 2-D input signal. Computer simulation results indicate that the proposed algorithm shows better visual performance than conventional deinterlacing algorithms.",

author = "Oh, {Hyo Sub} and Yoon Kim and Jung, {You Young} and Morales, {Aldo W.} and Ko, {Sung Jea}",

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AU - Kim, Yoon

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AU - Morales, Aldo W.

AU - Ko, Sung Jea

PY - 2000

Y1 - 2000

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AB - In this paper, we propose a new computationally efficient deinterlacing algorithm which shows effective visual performance. In the proposed scheme, correlation dependent interpolation and line doubling schemes are utilized separately for the low frequency and high frequency components of the 2-D input signal. Computer simulation results indicate that the proposed algorithm shows better visual performance than conventional deinterlacing algorithms.

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Spatio-temporal edge-based median filtering for deinterlacing

Abstract

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ASJC Scopus subject areas

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