Motion adaptive deinterlacing of video data with texture detection
In this paper, we propose a motion adaptive deinterlacing method with texture detection for scan-rate conversion of video data. The basic idea of this method is to classify the missing pixel to four different regions including motion smooth region, motion texture region, static smooth region, and static texture region based on the results of motion detection and texture detection, then four different interpolation methods are used to produce the missing pixel. Extensive simulations conducted for video sequences indicate that the performance of the proposed method is superior to the previous methods based on the direct merging method, bilinear interpolation, ELA, and vertical temporal median method. Moreover, our proposed method requires lower computational complexity and provides better object and subject performance