一种运动自适应去隔行中值滤波算法

A De-interlacing Algorithm Based on Motion Adaptive with Median Filtering

在分析了现有各种去隔行算法的基础上,提出一种基于边缘的中值去隔行运动自适应算法。对运动部分,采用在最大相关性方向上进行中值滤波。实验证明,算法充分利用了图像时间和空间上的信息,有效克服了传统算法去隔行后图像边缘不够平滑,出现锯齿,对噪声敏感的不足,该算法占用硬件资源少,运算复杂度低,易于硬件实现。

In this paper,a new Edge-Based median filter motion-adaptive algorithm for de-interlacing is proposed based on discussing the present algorithms. To motion part, the median filtering algorithm with the most correlative direction is adopted. The simulation results show that it makes full use of the information of space and time of the video signal, and overcomes the disadvantages in traditional algorithm such as zigzag, roughness in the image and more sensitive to noise. It is also in low hardware cost and reduces the algorithm complexity. It can be easily implemented by hardware.