The function of de interlace is to convert interlaced images to progressive ones. In this paper

a motion adaptive de interlacing algorithm based on edge direction is presented. It consists of motion estimation

low angle edge detection

and spatio temporal weight adaptive interpolation. It estimates the motion by comparing the sum of absolute block difference (SAD) between same parity fields with the threshold of motion. The motion information obtained by motion estimation is filtered by a mathematical morphology filter. The low angle edge detection uses an adaptive searching radius and parallel search strategy in which the 6° edge can be detected. Experimental results show that the proposed method achieves high image quality with low hardware complexity.