Fuzzy weighted approach to improve visual quality of edge-based filtering

A new algorithm for the deinterlacing of interlaced scanned video sequences is presented in this paper. The ultimate goal of the proposed algorithm is to exactly determine the unknown pixel value while preserving the edges and details of the image. Traditional edge direction-based interpolation algorithms usually introduce artifacts in the case of non-clear edges. In order to solve the above issues, we adopted fuzzy concepts to design a weight-evaluating technique. The weights were considered to be multiplied by the candidate deinterlaced pixels. Experimental results demonstrated that the resulting frames contained less errors and sharper edges than frames generated using common approaches such as median filtering and edge direction-based linear interpolation.