Motion adaptive deinterlacing via edge pattern recognition

Gwo Giun Lee; Hsin Te Li; Ming Jiun Wang; He Yuan Lin

doi:10.1109/iscas.2007.377961

Motion adaptive deinterlacing via edge pattern recognition

Gwo Giun Lee, Hsin Te Li, Ming Jiun Wang, He Yuan Lin

Department of Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

6 Citations (Scopus)

Abstract

In this paper, a novel edge pattern recognition (EPR) deinterlacing algorithm with successive 4-field enhanced motion detection is introduced. The EPR algorithm surpasses the performance of ELA-based and other conventional methods especially at textural scenes. In addition, the current 4-field enhanced motion detection scheme overcomes conventional motion missing artifacts by gaining good motion detection accuracies and suppression of "motion missing" detection errors efficiently. Furthermore, with the incorporation of our new successive 4-field enhanced motion detection, the interpolation technique of EPR algorithm is capable of flexible adaptation in achieving better performance on textural scenes in generic video sequences.

Original language	English
Article number	4253225
Pages (from-to)	2662-2665
Number of pages	4
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
DOIs	https://doi.org/10.1109/iscas.2007.377961
Publication status	Published - 2007
Event	2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 - New Orleans, LA, United States Duration: 2007 May 27 → 2007 May 30

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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10.1109/iscas.2007.377961

Cite this

@article{a1760eec0d2f459bae9b048d0efddeba,

title = "Motion adaptive deinterlacing via edge pattern recognition",

abstract = "In this paper, a novel edge pattern recognition (EPR) deinterlacing algorithm with successive 4-field enhanced motion detection is introduced. The EPR algorithm surpasses the performance of ELA-based and other conventional methods especially at textural scenes. In addition, the current 4-field enhanced motion detection scheme overcomes conventional motion missing artifacts by gaining good motion detection accuracies and suppression of {"}motion missing{"} detection errors efficiently. Furthermore, with the incorporation of our new successive 4-field enhanced motion detection, the interpolation technique of EPR algorithm is capable of flexible adaptation in achieving better performance on textural scenes in generic video sequences.",

author = "Lee, {Gwo Giun} and Li, {Hsin Te} and Wang, {Ming Jiun} and Lin, {He Yuan}",

year = "2007",

doi = "10.1109/iscas.2007.377961",

language = "English",

pages = "2662--2665",

journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

issn = "0271-4310",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 ; Conference date: 27-05-2007 Through 30-05-2007",

}

TY - JOUR

T1 - Motion adaptive deinterlacing via edge pattern recognition

AU - Lee, Gwo Giun

AU - Li, Hsin Te

AU - Wang, Ming Jiun

AU - Lin, He Yuan

PY - 2007

Y1 - 2007

N2 - In this paper, a novel edge pattern recognition (EPR) deinterlacing algorithm with successive 4-field enhanced motion detection is introduced. The EPR algorithm surpasses the performance of ELA-based and other conventional methods especially at textural scenes. In addition, the current 4-field enhanced motion detection scheme overcomes conventional motion missing artifacts by gaining good motion detection accuracies and suppression of "motion missing" detection errors efficiently. Furthermore, with the incorporation of our new successive 4-field enhanced motion detection, the interpolation technique of EPR algorithm is capable of flexible adaptation in achieving better performance on textural scenes in generic video sequences.

AB - In this paper, a novel edge pattern recognition (EPR) deinterlacing algorithm with successive 4-field enhanced motion detection is introduced. The EPR algorithm surpasses the performance of ELA-based and other conventional methods especially at textural scenes. In addition, the current 4-field enhanced motion detection scheme overcomes conventional motion missing artifacts by gaining good motion detection accuracies and suppression of "motion missing" detection errors efficiently. Furthermore, with the incorporation of our new successive 4-field enhanced motion detection, the interpolation technique of EPR algorithm is capable of flexible adaptation in achieving better performance on textural scenes in generic video sequences.

UR - http://www.scopus.com/inward/record.url?scp=34548839919&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34548839919&partnerID=8YFLogxK

U2 - 10.1109/iscas.2007.377961

DO - 10.1109/iscas.2007.377961

M3 - Conference article

AN - SCOPUS:34548839919

SN - 0271-4310

SP - 2662

EP - 2665

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

M1 - 4253225

T2 - 2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007

Y2 - 27 May 2007 through 30 May 2007

ER -

Motion adaptive deinterlacing via edge pattern recognition

Abstract

All Science Journal Classification (ASJC) codes

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