A spatio-temporal fuzzy interpolation algorithm for video deinterlacing
- Authors
- Jeon, Gwanggil; Jeong, Jechang; Lee, Joohyun; You, Jongmin; Wu, Chengke
- Issue Date
- Oct-2006
- Publisher
- IEEE
- Keywords
- Digital image processing; Fuzzy control; Fuzzy systems; Interpolation
- Citation
- Proceedings - International Conference on Image Processing, ICIP, pp.1789 - 1792
- Indexed
- SCOPUS
- Journal Title
- Proceedings - International Conference on Image Processing, ICIP
- Start Page
- 1789
- End Page
- 1792
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/180870
- DOI
- 10.1109/ICIP.2006.312635
- ISSN
- 1522-4880
- 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.
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