A fuzzy edge-dependent motion adaptive algorithm for de-interlacing
Fuzzy Sets and Systems
Information Sciences: an International Journal
Weighted fuzzy reasoning scheme for interlaced to progressive conversion
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Fuzzy Systems
Spatio-temporal information-based simple deinterlacing algorithm
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Application of Bayesian network for fuzzy rule-based video deinterlacing
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Enhancement of interlaced images by fuzzy reasoning approach
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Fuzzy motion adaptive algorithm and its hardware implementation for video de-interlacing
Applied Soft Computing
Fuzzy edge-sensitive filter for noise reduction
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Application for deinterlacing method using edge direction classification and fuzzy inference system
Multimedia Tools and Applications
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Video line doubling can be realized using time-space interpolation filters. To improve their performances for moving diagonal lines, we have developed a fuzzy edge-direction detector. This fuzzy detector works by identifying small pixel variations in five orientations (0°, ±45°, and ±60°) and by using rules to infer the prevailing direction. This direction is then used to spatially rotate the interpolation filter. For the fuzzy detector, three fuzzy sets are used to characterize the inputs, and two rule bases have been validated. This article presents the characteristics of the fuzzy edge-direction detector along with the methodology used for fuzzy sets positioning. Detection and interpolation results are also presented