Video deinterlacing algorithm based on fuzzy reasoning with angle extraction approach

Abstract

In this paper, we present the outline and the formulation of an interpolation technique for designing video deinterlacing by employing a modified Sobel mask integrated with a simple fuzzy edge direction detection algorithm. A linear interpolation is used to interpolate the non-direction-designated regions and a weightedaverage method is used to interpolate the direction-designated regions along edge directions. The fuzzy if-then rules are utilized to carry out the determining edge direction. Experimental results have shown a low interpolation error, in comparison with other broadly used video deinterlacing algorithms.