在分析了现有各种去隔行算法的基础上，提出了一种新型的运动自适应去隔行算法。该算法通过对传统运动检测算法的改进，提高了运动检测的精度，降低了误判的概率，可高效地区分图像的静止和运动部分，然后采用不同的算法进行去隔行，同时对运动部分采用的插值算法进行了改进，新的插值算法综合了帧内行平均算法和边缘算法的优点，插值效果有很大改善，最后给出了FPGA实现原理。实验结果表明，本文算法无论对运动图像还是对静止图像都具有很好的去隔行效果，在一定程度上弥补了传统去隔行算法边缘不够平滑，出现锯齿，细节模糊，甚至有断点、虚像等缺点。同时，算法也很好地实现了显示品质和硬件成本之间的平衡，适合应用于中端视频产品及在FPGA设计中的应用。

After analyzing different kinds of de-interlacing arithmetic, a novel motion adaptive de-interlacing arithmetic is put forward. This arithmetic improves conventional motion detection arithmetic, advances the precision of the motion detection, reduces the probability of miscarriage of justice and can distinguish the motion and static parts effectively, then different arithmetic is adopted to de-interlace, the interpolation arithmetic for the motion parts is also improved, the proposed interpolation arithmetic have advantages of both line-average in a frame and edge arithmetic, so it has a good effect in interpolation, finally, the implementation of FPGA is given. According to the result of the experiment, we can conclude that the proposed arithmetic both have good de-interlacing effect in motion image and static image, to some extent, it get over the following flaws in conventional de-interlacing arithmetic: not enough smoothness on edge, having sawtooth, illegibility in detail, even having breakpoints and virtual image. At the same time, the proposed arithmetic balances well in display quality and hardware cost, and can be used in the common video products and FPGA design.