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1. 中国科学院 长春光学精密机械与物理研究所,吉林 长春,130033
2. 中国科学院 研究生院,北京 100039
收稿日期:2005-09-22,
修回日期:2006-06-18,
纸质出版日期:2006
移动端阅览
贾平, 张葆, 孙辉. 航空成像像移模糊恢复技术[J]. 光学精密工程, 2006,14(4): 697-703
JIA Ping, ZHANG Bao, SUN Hui 1. Restoration of motion-blurred aerial image[J]. Editorial Office of Optics and Precision Engineering, 2006,14(4): 697-703
分析了航空成像系统像移模糊产生的机理; 通过建立运动模糊的数学模型
构建二维运动模糊点扩散函数; 采用维纳滤波方法
消除了航空成像系统图像像移模糊; 通过加窗技术
有效地抑制和减小了边缘误差。实验结果表明
该方法效果较好
可以实现1个像元的恢复精度。
The mechanism of a motion-blurred image generated from aerial imaging system was introduced. The mathematical model of motion-blurred image was established to give the point spread function of 2-dimensional motion blur
and the Wiener flter was utilized to remove image blur for aerial image. By the window technique
the edge error was restrained or reduced. The simulation results show that the Wiener filtering is effective in precision
which can get the restoration precision of 1 pixel.
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