Multiresolution-based texture adaptive algorithm for high-quality deinterlacing

Gwo-Giun Lee, He Yuan Lin, Drew Wei Chi Su, Ming Jiun Wang

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper introduces a texture analysis mechanism utilizing multiresolution technique to reduce false motion detection and hence thoroughly improve the interpolation results for high-quality deinterlacing. Conventional motion-adaptive deinterlacing algorithm selects from interfield and intra-field interpolations according to motion. Accurate determination of motion information is essential for this purpose. Fine textures, having high local pixel variation, tend to cause false detection of motion. Based on hierarchical wavelet analysis, this algorithm provides much better perceptual visual quality and considerably higher PSNR than other motion adaptive deinterlacers as shown. In addition, a recursive 3-field motion detection algorithm is also proposed to achieve better performance than the traditional 2-field motion detection algorithm with little memory overhead.

Original languageEnglish
Pages (from-to)1821-1830
Number of pages10
JournalIEICE Transactions on Information and Systems
VolumeE90-D
Issue number11
DOIs
Publication statusPublished - 2007 Jan 1

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Adaptive algorithms
Textures
Interpolation
Wavelet analysis
Pixels
Data storage equipment

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

Cite this

Lee, Gwo-Giun ; Lin, He Yuan ; Su, Drew Wei Chi ; Wang, Ming Jiun. / Multiresolution-based texture adaptive algorithm for high-quality deinterlacing. In: IEICE Transactions on Information and Systems. 2007 ; Vol. E90-D, No. 11. pp. 1821-1830.
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Multiresolution-based texture adaptive algorithm for high-quality deinterlacing. / Lee, Gwo-Giun; Lin, He Yuan; Su, Drew Wei Chi; Wang, Ming Jiun.

In: IEICE Transactions on Information and Systems, Vol. E90-D, No. 11, 01.01.2007, p. 1821-1830.

Research output: Contribution to journalArticle

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