摘要
提出一种基于小波变换和维纳滤波相结合的图像复原方法,有效地消除了航空成像系统的像移模糊。该算法先在小波变换的基础上对各个子频段的小波系数进行维纳滤波,以达到更好的消除模糊的目的。然后对维纳滤波后的图像进行小波逆变换,得到复原图像。经实验验证该算法对因前向像移造成的图像模糊有比较好的复原效果。
An image restoration algorithm based on wavelet and Wiener filtering is proposed, which effectively removed image blur for aerial image. Firstly the Wiener filtering was utilized in the wavelet coefficient after wavelet transform to remove image blur effectually. Then inverse wavelet transform was used to get restoration image. The simulation results show that this algorithm is effective in removing the image blur caused by the forward image motion.
出处
《微计算机信息》
2009年第18期296-297,42,共3页
Control & Automation
关键词
图像复原
像移模糊
小波变换
维纳滤波
小波逆变换
image restoration
motion-blurred
wavelet transform
Wiener filtering
inverse wavelet transform
