基于内容优化双边滤波的运动自适应算法

A Motion Adaptive Algorithm Based on Content Optimized Bilateral Filter

本文提出了一种基于内容的优化双边滤波运动自适应去隔行算法.该算法在传统运动自适应算法的基础上,利用双边滤波改进了视频中的动静检测方法,改善了视频插值点的运动状态,能较好的识别视频中的动静区域,具有较好的抗噪声能力及静态物体边缘保持能力,并能够根据图像的内容,自适应地调整运动静态权重,达到较好的去隔行效果.

In this paper,a content-based adaptive de-interlacing algorithm for optimizing bilateral filtering motion is proposed.The algorithm on the basis of the traditional motion adaptive algorithm,using the bilateral filter to improve the movement in the video detection method to improve the motion state of the video interpolation point.It can also better identify video movement in the area,has a good anti-noise ability and keep the static object edge.In order to get a good result on de-interlacing,it can adaptively adjust the static weight according to the content of the image.