Motion adaptive deinterlacing via edge pattern recognition

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

Research output: Contribution to journalConference articlepeer-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 languageEnglish
Article number4253225
Pages (from-to)2662-2665
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
DOIs
Publication statusPublished - 2007
Event2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 - New Orleans, LA, United States
Duration: 2007 May 272007 May 30

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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