基于空间域的车辆运动模糊图像的恢复  

Restoration of vehicle motion-blurred image based on spatial domain

作　　者：周鸣争[1] 汪军[1] 强俊[1] 楚宁[1] 

机构地区：[1]安徽工程科技学院计算机科学与工程系,安徽芜湖241000

出　　处：《安徽工程科技学院学报（自然科学版）》2005年第4期21-24,共4页Journal of Anhui University of Technology and Science

基　　金：安徽省芜湖市科技局科学技术基金资助项目(wh2004133zd)

摘　　要：从车辆运动模糊图像产生的机理出发,分析了运动模糊图像的退化模型,给出了一种在空间域中车辆运动模糊图像的运动参数估计及恢复算法,该算法不涉及系统的传递函数,而是根据车辆运动模糊的逆过程在空间域内直接进行图像的恢复,其效果受曝光时间内运动距离a的影响较小,可避免频域计算中可能出现的高频振铃现象,实验结果表明,该算法具有较好的恢复效果.According to the principle of vehicle motion-blurred image, this article analyzes the degradation model of motion-blurred image, and gives a restoring algorithm which describes the vehicle motionblurred image in spatial domain. This algorithm doesn＇t concern the systematical transfer function, but is based on the inverse process of vehicle motion-blurred image in spatial domain where the image is restored directly. The effect is slightly influenced by the moving distance in the exposure time. Thus, the high frequency vibration phenomenon emerging in the calculation in the frequency domain can be avoided. The experimental results indicate that this algorithm has a satisfying restoring effect.

关 键 词：运动模糊图像 退化模型 图像恢复 空间域 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]