首页 | 本学科首页   官方微博 | 高级检索  
     

红外运动模糊图像复原技术
引用本文:杨晓冬,刘俊,张倩倩.红外运动模糊图像复原技术[J].杭州电子科技大学学报,2012,32(4):144-147.
作者姓名:杨晓冬  刘俊  张倩倩
作者单位:杭州电子科技大学信息与控制研究所,浙江杭州,310018
基金项目:总装备部“十二五”装备预研资助项目(*******)
摘    要:该文分析了红外图像运动模糊产生的原理,建立运动模糊及复原数学模型.复原过程分包括构建点扩散函数和维纳滤波两部分.采用方向微分,双线性插值法求取模糊方向,通过微分自相关函数估算模糊尺度,从而构建最为近似的二维匀速直线运动的点扩散函数,并对运动模糊图像进行维纳滤波的复原.实验结果表明,针对有噪声的图像运动模糊复原,维纳滤波复原图像效果好,抗噪能力强.

关 键 词:图像复原  运动模糊  点扩散函数  方向微分  维纳滤波

Restoration of Motion-blurred Infrared Image
YANG Xiao-dong , LIU Jun , ZHANG Qian-qian.Restoration of Motion-blurred Infrared Image[J].Journal of Hangzhou Dianzi University,2012,32(4):144-147.
Authors:YANG Xiao-dong  LIU Jun  ZHANG Qian-qian
Affiliation:(Institute of Information and Control, Hangzhou Dianzi University, Hangzhou Zhejiang 310018, China)
Abstract:In this paper, the mechanism of a motion-blurred image generated from infrared imaging system was introduced. The mathematical model of direction differential, bilinear interpolation method and the related function to obtain the point spread function of two-dimensional uniform linear motion. It also explicates Wiener filter for motion-blurred infrared images, and compares their advantages and disadvantages. Finally, the algo- rithm is demonstrated through a series of experiments which reveal that the Wiener filter for restoration motion- blur imaging is more better than inverse filtering.
Keywords:image restoration  motion blur  point spread function  directional differentiation  Wiener filtering
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号