Application of bayesian network for fuzzy rule-based video deinterlacing

Gwanggil Jeon, Rafael Falcon, Rafael Bello, Donghyung Kim, Jechang Jeong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a fuzzy reasoning interpolation method for video deinterlacing. We propose edge detection parameters to measure the amount of entropy in the spatial and temporal domains. The shape of the membership functions is designed adaptively, according to those parameters and can be utilized to determine edge direction. Our proposed fuzzy edge direction detector operates by identifying small pixel variations in nine orientations in each domain and uses rules to infer the edge direction. We employ a Bayesian network, which provides accurate weightings between the proposed deinterlacing method and 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.

Original languageEnglish
Title of host publicationAdvances in Image and Video Technology - Second Pacific Rim Symposium, PSIVT 2007, Proceedings
Pages867-878
Number of pages12
StatePublished - 2007 Dec 1
Event2nd IEEE Pacific Rim Symposium on Video and Image Technology, PSIVT 2007 - Santiago, Chile
Duration: 2007 Dec 172007 Dec 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4872 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd IEEE Pacific Rim Symposium on Video and Image Technology, PSIVT 2007
CountryChile
CitySantiago
Period07/12/1707/12/19

Fingerprint

Deinterlacing
Fuzzy rules
Bayesian networks
Fuzzy Rules
Bayesian Networks
Interpolation
Interpolation Method
Edge detection
Membership functions
Weighting
Entropy
Pixels
Detectors
Fuzzy Reasoning
Computer simulation
Edge Detection
Membership Function
Computer Simulation
Pixel
Detector

Keywords

  • Deinterlacing
  • Directional interpolation
  • Fuzzy reasoning

Cite this

Jeon, G., Falcon, R., Bello, R., Kim, D., & Jeong, J. (2007). Application of bayesian network for fuzzy rule-based video deinterlacing. In Advances in Image and Video Technology - Second Pacific Rim Symposium, PSIVT 2007, Proceedings (pp. 867-878). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4872 LNCS).
Jeon, Gwanggil ; Falcon, Rafael ; Bello, Rafael ; Kim, Donghyung ; Jeong, Jechang. / Application of bayesian network for fuzzy rule-based video deinterlacing. Advances in Image and Video Technology - Second Pacific Rim Symposium, PSIVT 2007, Proceedings. 2007. pp. 867-878 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Jeon, G, Falcon, R, Bello, R, Kim, D & Jeong, J 2007, Application of bayesian network for fuzzy rule-based video deinterlacing. in Advances in Image and Video Technology - Second Pacific Rim Symposium, PSIVT 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4872 LNCS, pp. 867-878, 2nd IEEE Pacific Rim Symposium on Video and Image Technology, PSIVT 2007, Santiago, Chile, 07/12/17.

Application of bayesian network for fuzzy rule-based video deinterlacing. / Jeon, Gwanggil; Falcon, Rafael; Bello, Rafael; Kim, Donghyung; Jeong, Jechang.

Advances in Image and Video Technology - Second Pacific Rim Symposium, PSIVT 2007, Proceedings. 2007. p. 867-878 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4872 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Jeon G, Falcon R, Bello R, Kim D, Jeong J. Application of bayesian network for fuzzy rule-based video deinterlacing. In Advances in Image and Video Technology - Second Pacific Rim Symposium, PSIVT 2007, Proceedings. 2007. p. 867-878. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).