Interlaced-to-progressive conversion using adaptive projection-based global and representative local motion estimation

Young Duk Kim, Joonyoung Chang, Gun Shik Shin, Moon Gi Kang

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

We propose a motion-compensation-based deinterlacing algorithm using global and representative local motion estimation. The proposed algorithm first divides an entire image into five regions of interest (ROIs) according to the temporally predicted motion type (i.e., global or local) and the spatial position. One of them is for global motion estimation and the others are for local motion estimation. Then, dominant motions of respective ROIs are found by adaptive projection approach. The adaptive projection method not only estimates dominant local motions with low computational cost, but also ensures consistent global motion estimation. Using the estimated motion vectors, adaptive two-field bidirectional motion compensation is performed. The arbitration rules, measuring the reliability of motion compensation accurately, produce high-quality deinterlaced frames by effectively combining the results of motion compensation and the stable intrafield deinterlacing. Experimental results show that the proposed deinterlacing algorithm provides better image quality than the existing algorithms in both subjective and objective measures.

Original languageEnglish
Article number023008
JournalJournal of Electronic Imaging
Volume17
Issue number2
DOIs
Publication statusPublished - 2008 Dec 1

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Motion compensation
Motion estimation
projection
Image quality
Costs

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Atomic and Molecular Physics, and Optics

Cite this

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abstract = "We propose a motion-compensation-based deinterlacing algorithm using global and representative local motion estimation. The proposed algorithm first divides an entire image into five regions of interest (ROIs) according to the temporally predicted motion type (i.e., global or local) and the spatial position. One of them is for global motion estimation and the others are for local motion estimation. Then, dominant motions of respective ROIs are found by adaptive projection approach. The adaptive projection method not only estimates dominant local motions with low computational cost, but also ensures consistent global motion estimation. Using the estimated motion vectors, adaptive two-field bidirectional motion compensation is performed. The arbitration rules, measuring the reliability of motion compensation accurately, produce high-quality deinterlaced frames by effectively combining the results of motion compensation and the stable intrafield deinterlacing. Experimental results show that the proposed deinterlacing algorithm provides better image quality than the existing algorithms in both subjective and objective measures.",
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Interlaced-to-progressive conversion using adaptive projection-based global and representative local motion estimation. / Kim, Young Duk; Chang, Joonyoung; Shin, Gun Shik; Kang, Moon Gi.

In: Journal of Electronic Imaging, Vol. 17, No. 2, 023008, 01.12.2008.

Research output: Contribution to journalArticle

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