复合帧运动模糊图像复原方法研究  

Research on Restoration of Composite-frame Images Degraded by Motion

作　　者：孟庆浩[1] 周荣彪[1] 

机构地区：[1]天津大学电气与自动化工程学院,天津300072

出　　处：《计算机工程》2006年第13期187-189,共3页Computer Engineering

基　　金：教育部留学回国启动基金资助项目;中德合作PPP项目基金资助项目

摘　　要：对复合帧图像运动模糊的复原问题进行了较为系统的研究。利用块匹配算法估计场间的位移矢量,即模糊范围和模糊方向以消除边缘“阶梯效应”;采用维纳滤波方法对场内的运动模糊图像进行了复原;经对一个CCD照相机以不同的相对运动速度在不同的距离对一个门牌号摄取的模糊图像进行复原,证明该文方法的有效性。The restoration of composite-frame images degraded by relative motion between a camera and an object is systematically studied in this paper. First, the edge ＂staircase effect＂ is eliminated through the displacement vector （i.e. motion extent and direction between two sub-fields） estimation based on a block-matching algorithm; Second, the Wiener filtering is applied to remove the motion blur in each sub-field; Finally, through restoring the blurred images captured by relative linear motion with different speed and distance between a camera and a doorplate mounted in a vehicle, the method is validated.

关 键 词：运动模糊 复合帧 交错图像 位移矢量估计 图像复原 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]