An efficient and robust adaptive deinterlacing technique
This paper presents an efficient and robust adaptive deinterlacing technique that consists of three main steps, i.e. motion estimation, motion detection (MD), and adaptive decision-making. Firstly, five successive interlaced fields are used and four unidirectional motion vectors are calculated. Secondly, a probabilistic criterion is introduced to select the most reliable motion vector for each block before MD, which has four possible output motion states. Finally, an adaptive deinterlacing scheme is proposed based on the motion and texture information of each block, as well as the output of MD. Experimental results show that the proposed deinterlacing technique outperforms previous methods both objectively and subjectively. The analysis also shows that the proposed technique is robust to both unconventional motions and the video codec