A spatio-temporal fuzzy interpolation algorithm for video deinterlacing

Gwanggil Jeon, Jechang Jeong, Joohyun Lee, Jongmin You, Chengke Wu

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

4 Scopus citations

Abstract

This paper proposes a novel fuzzy reasoning interpolation method for video deinterlacing. We propose SMDW and TMDW parameters to measure the amount of entropy in the spatial and temporal domains. The shape of the membership function is designed adaptively according to the parameters, and can be utilized to determine edge direction. Our proposed fuzzy edge direction detector follows three processing steps: fuzzification, rule inference, and defuzzification. This filter operates by identifying small pixel variations in nine orientations (0°, ±30°, ±45°, ±55°, and ±60°) in each domain, and works by using rules to infer the edge direction. Detection and interpolation results are presented. The results of computer simulations show that the proposed method is able to outperform a number of methods in the literature.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
Pages1789-1792
Number of pages4
DOIs
Publication statusPublished - 2006 Dec 1
Event2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States
Duration: 2006 Oct 82006 Oct 11

Other

Other2006 IEEE International Conference on Image Processing, ICIP 2006
CountryUnited States
CityAtlanta, GA
Period06/10/806/10/11

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Keywords

  • Digital image processing
  • Fuzzy control
  • Fuzzy systems
  • Interpolation

Cite this

Jeon, G., Jeong, J., Lee, J., You, J., & Wu, C. (2006). A spatio-temporal fuzzy interpolation algorithm for video deinterlacing. In 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings (pp. 1789-1792). [4106898] https://doi.org/10.1109/ICIP.2006.312635