车辆运动模糊图像复原方法研究  

Research on restoration method for the vehicle motion-blurred images

作　　者：王秋云[1] 李瑞生[1] 

机构地区：[1]甘肃政法学院公安技术学院,甘肃兰州730070

出　　处：《自动化与仪器仪表》2012年第6期46-48,共3页Automation & Instrumentation

基　　金：甘肃政法学院重点科研项目<运动模糊图像算法研究>;GZF2010XZDLW28

摘　　要：根据车辆运动模糊图像的特点,分析了运动模糊图像的退化模型,给出了运动模糊图像点扩展函数的参数估计和算法。采用改进的K值自动估计算法,较准确地估计出K值,再用维纳滤波复原图像。实验结果表明,这种改进的综合算法能够较为精确地估算出运动模糊图像的模糊参量并取得了较好的恢复效果。Based on the characters of vehicle motion-blurred images, the degradation model of motion-blurred images were analyzed, a parameter estimation method and algorithm for spot spreading function was given. Improved auto-estimation algorithm for the K value was adopted and the k value was estimated relative accurately. And then, the Wiener filtering algorithm was adopted to restore images. The result of experiment showed that the improved comprehensive algorithm could estimate blurred parameter of motion-blurred images relative accurately and obtain satisfied effect.

关 键 词：运动模糊图像 退化模型 图像恢复 频率域 

分 类 号：TN911[电子电信—通信与信息系统]