Designing Rough Sets Attributes Reduction Based Video Deinterlacing System
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Fuzzy Rule Based Edge-Sensitive Line Average Algorithm in Interlaced HDTV Sequences
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Fuzzy Metrics Application in Video Spatial Deinterlacing
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Fuzzy rough sets hybrid scheme for motion and scene complexity adaptive deinterlacing
Image and Vision Computing
Information Sciences: an International Journal
IEEE Transactions on Fuzzy Systems
Application for deinterlacing method using edge direction classification and fuzzy inference system
Multimedia Tools and Applications
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This paper proposes a novel interpolation algorithm based on the Takagi-Sugeno (TS) fuzzy model, which uses fuzzy direction-oriented interpolation (FDOI). The proposed algorithm can choose the most suitable deinterlacing methods for interpolation of a missing pixel by using an area classifier that classifies the content of a frame into three different categories. The proposed FDOI utilizes fuzzy theory to find the most accurate edge direction in which to interpolate missing pixels. The shape of the membership functions used in fuzzy logic are designed adaptively according to the parameters. Detection and interpolation results are presented. The results of computer simulations show that the proposed method outperforms a number of methods in the literature