摘要
高频噪声对运动模糊图像的经典频域恢复方法影响较大,针对上述问题采用原方法存在运算量大的缺陷,提出了一种基于提升小波的运动模糊图像恢复方法:即对含噪运动模糊图像用9/7提升小波进行变换;对变换所得的低频包含运动模糊的部分用经典频域方法进行恢复,对变换所得的高频部分采用软域值自适应去噪处理;最后,对两部分处理结果进行9/7提升小波逆变换。仿真实验结果表明,方法能够较好的对运动模糊图像进行恢复。
In view of the effect of high frequence noise on the classic restoration way in the frequent field and the request of real time dealment, here a new methord is presented to restore the mobile blurring image based on the lifting wavelet： firstly adopting 9/7 lifting wavelet to transform the noised mobile blurring image, secondly restoring the low frequent mobile blurring department with the classic frequence restoration methord, the next, using soft threshold in automobile adaptively denoising of high frequence component, at last, restructing the image with the two componets dealt with 9/7 lifting wavelet. The outcome of the test indicates that this methord can effectively restore the mobile blurring image.
出处
《计算机仿真》
CSCD
北大核心
2010年第5期194-196,共3页
Computer Simulation
关键词
图像恢复
提升小波
运动模糊
哈夫变换
Image restoration
Lifting wavelet
Mobile blurring
Hough transformation
