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초록
This paper proposes a novel motion adaptive interpolation algorithm for video deinterlacing. We employ a Bayesian network, which provides accurate weightings among common existing deinterlacing methods. It successively builds approximations of the deinterlaced sequence by weighting interpolation methods. The results of computer simulations show that the proposed method outperforms a number of methods in the literature.
키워드
Adaptive algorithms; Bayesian networks; Computational methods; Computer simulation; Distributed parameter networks; Electronics industry; Inference engines; Intelligent networks; Interpolation; Speech analysis; Bayesian; Computer simulations; De-interlacing; International conferences; Interpolation algorithms; Interpolation methods; Motion adaptive; Network-based; Video de-interlacing; Consumer electronics
- 제목
- A Bayesian network-based deinterlacing scheme
- 저자
- Jeon, Gwanggil; Choi, Hyojoon; Kim, Donghyung; Lee, Joohyun; Jeong, Jechang
- 발행일
- 2008-01
- 유형
- Conference Paper
- 저널명
- Digest of Technical Papers - IEEE International Conference on Consumer Electronics
- 페이지
- 1 ~ 2