摘要
本文叙述对变模糊并附加了噪声的二维数字化图象进行恢复处理的一种方法。它是在行方向上进行一维的快速傅立叶变换,而在列方向上进行一维卡尔曼滤波,然后再复原的方法。由于卡尔曼滤波的“动态”性优点,使它从理论上解决了实时图象处理的问题。
This paper describes a way in which one can carry out restora-tion processing of 2-D image, which was blurred and corrupted by addition n-oise. The feature of the method in that one can do 1-D FFT in rows, and th-en do 1-D Kalman filterring in columns, and at last do inverese FFT in rowsagain to accomplish the restoration By using he 'dynamic' characteristicof Kalman filterring, we have solved real time image peocessing problem the -oretically.
出处
《信号处理》
CSCD
北大核心
1989年第3期158-163,共6页
Journal of Signal Processing
