摘要
提出了一种新的处理运动模糊图像的方法,以一维维纳滤波(1DWF)来快速恢复二维的模糊图像。给出了1DWF算法可行性的理论论证,并给出了1DWF算法及其它常用图像恢复算法的实验结果和对比评价。运算量分析表明:1DWF算法的运算量只有二维维纳滤波运算量的1/3;实验结果显示:在P4 3.0G主频的PC机上,1DWF算法可以使得512×512的8位灰度测试图像在36 ms内完成图像恢复。对图像恢复质量的评价结果显示:1DWF算法的图像恢复质量与原维纳滤波的恢复效果相同,验证了在单处理器上实时、高质恢复模糊图像的可行性。
A new algorithm based on one-dimensional Wiener Filter （1DWF） is proposed to restore the image degraded in a deterministic way by motion-blurred and in a stochastic way by additive white noise. From the theoretical derivation of the new algorithm, this paper shows that it is possible to restore the two-dimensional images with 1 DWF, and the computational requirements of the 1DWF method are just one third of the old Wiener filter＇s. The experiment result of the 1DWF method shows that 1DWF can restore test images, 512 × 512 size and quantized in 8 bits, in 36 ms with Intel Pentium 4 3.0 GHz CPU. It means that the 1DWF method can reach speeds of restoration in 25 frames per second just with one CPU. And the experiment result also reveals that the quality of the images restored is no noticeable difference between the 1DWF method and the old Wiener filter.
出处
《光学精密工程》
EI
CAS
CSCD
北大核心
2007年第5期767-772,共6页
Optics and Precision Engineering
基金
国防科技预研基金资助(No.1040603)
关键词
运动模糊
维纳滤波
图像恢复
实时恢复
快速算法
motion-blurred
Wiener filter
image restoration
real-time restoration
fast algorithm
