Edge-dependent deinterlacing using weighted motion estimation

Taeuk Jeong, Chulhee Lee

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


We propose a new edge-dependent deinterlacing method using weighted motion estimation. Motion-compensated methods use the motion information and produce improved performance. However, they still tend to produce unsatisfactory picture quality in rapid motion areas and edge regions due to incorrect motion estimation. The proposed method mitigates these problems by limiting motion estimation to an appropriate search range and applying a weighted edge motion estimation with a piecewise linear weight function. Experimental results show that the proposed method provides noticeable improvement in terms of the peak signal-to-noise ratio and produces better picture quality in edge regions.

Original languageEnglish
Article number037008
JournalOptical Engineering
Issue number3
Publication statusPublished - 2008

Bibliographical note

Funding Information:
This work was partly supported by the IT R&D program of MKE (Ministry of Knowledge Economy)/IITA (Institute of Information Technology Assessment) [2007-F-036-01, Objective quality assessment system based on human visual

Funding Information:
system] and the MKE under the ITRC (Information Technology Research Center) support program supervised by the IITA [IITA-2008-(C1090-0801-0011)], Korea.

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)


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