Adaptive de-interlacing algorithm based on motion compensation

An adaptive de-interlacing algorithm based on motion compensation is presented in this paper. In this algorithm, the motion blocks are detected accurately by using successive 1-field images. With the Kalman filter the motion estimation module searches motion vector only for motion blocks, and the search model is adaptive to motion velocity and acceleration. Two de-interlacing methods are adopted to satisfy the different requirements of motion blocks and static blocks. Compared with full search algorithm, the proposed algorithm greatly reduces the computational amount with keeping the performance.