摘要
根据大气紊流的特点建立了使图像退化的点扩展函数(PSF)模型,简要说明了近年来所用的LRW算法、迭代盲去卷积算法,提出了基于自相关函数的维纳(Wiener)滤波算法对退化图像进行快速处理。图像复原实验的结果表明,基于自相关函数的维纳(Wiener)滤波算法优于LRW算法和迭代盲去卷积算法。
According to the characteristics of atmospheric turbulence, the point spread function （PSF） of image degradation can be created. The LRW algorithm and iterative blind deconvolution algorithm used in recent years are depicted briefly in this article, the Wiener filtering algorithm based on self-correlation function is advanced for recovery of degraded image processing. Experimental results show that the Wiener filtering method based on the self-correlation function is better than LRW algorithm and iterative blind deconvolution algorithm.
出处
《微型机与应用》
2010年第16期47-49,共3页
Microcomputer & Its Applications
