Spatio-temporal information-based simple deinterlacing algorithm

  • Authors:

  • Gwanggil Jeon;Fang Yong;Joohyun Lee;Rokkyu Lee;Jechang Jeong

  • Affiliations:

  • Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea;Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea;Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea;Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea;Department of Electronics and Computer Engineering, Hanyang University, Seongdong-gu, Seoul, Korea

  • Venue:
  • ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
  • Year:
  • 2007

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Abstract

In this paper, we propose a new computationally efficient fuzzy rule-based line doubling algorithm which provides effective visual performance. In the proposed scheme, spatio-temporal mode selector and fuzzy rule-based correlation dependent interpolation techniques are utilized for the 2-D input signal. The basic idea is to classify the field dynamically into background or foreground area. The proposed method interpolates missing pixels using temporal information in the background area, and then interpolates remaining pixels using spatial information in the foreground area using fuzzy rule.