POCS-based enhancement of de-interlaced video

Kang Sun Choi, Jun Ki Cho, Min Cheol Hwang, Sung Jea Ko

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

To convert an interlaced video into a progressive one effectively, de-interlacing techniques have been developed. However, existing de-interlacing techniques can not perfectly remove high frequency alias components inherently existing in the interlaced video. In this paper, based on the theory of POCS, we propose a video enhancement technique to improve the visual quality of de-interlaced video. We introduce novel constraint sets that are suitable for the characteristics of de-interlaced video and derive the projection operators for those sets. These projection operators using multiframes can reduce high frequency alias components of the de-interlaced video effectively. Extensive computer simulations show that the proposed method significantly improve the quality of the de-interlaced video by restoring the meaningful frequency information of the original progressive video.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsAdnan Yazici, Cevat Sener
PublisherSpringer Verlag
Pages667-674
Number of pages8
ISBN (Print)3540204091, 9783540397373
DOIs
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2869
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'POCS-based enhancement of de-interlaced video'. Together they form a unique fingerprint.

Cite this