Edge-dependent deinterlacing using weighted motion estimation
Taeuk Jeong, Chulhee Lee · Optical Engineering · 2008
We propose a new edge-dependent deinterlacing method using weighted motion estimation. Motion-compensated methods use the motion information and produce improved performance. However, they still tend to produce unsatisfactory picture quality in rapid motion areas and edge regions due to incorrect motion estimation. The proposed method mitigates these problems by limiting motion estimation to an appropriate search range and applying a weighted edge motion estimation with a piecewise linear weight function. Experimental results show that the proposed method provides noticeable improvement in terms of the peak signal-to-noise ratio and produces better picture quality in edge regions.