This chapter includes the rough sets theory for video deinterlacing that has been both researched and applied. The domain knowledge of several experts influences the decision making aspects of this theory. However, included here are a few studies that discuss the effectiveness of the rough sets concept in the field of engineering. Moreover, the studies involving a deinterlacing system that are based on rough sets have not been proposed yet. This chapter introduces a deinterlacing method that will reliably confirm that the method being tested is the most suitable for the sequence. This approach employs a reduced database system size, which contains the essential information for the process. Decision making and interpolation results are presented. The results of computer simulations show that the proposed method outperforms a number of methods that are presented in literature.
CITATION STYLE
Jeon, G., & Jeong, J. (2007). Rough Sets-Based Image Processing for Deinterlacing. In Signal Processing for Image Enhancement and Multimedia Processing (pp. 227–239). Springer US. https://doi.org/10.1007/978-0-387-72500-0_20
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