A Spatio-Temporal Fuzzy Interpolation Algorithm for Video Deinterlacing

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.