红外与激光工程, 2004, 33 (1): 55, 网络出版: 2006-05-25
小波域中的维纳滤波法在星图降噪中的应用
Application of wavelet domain Wiener filtering analysis to noise elimination in star-image denoising
摘要
小波阈值降噪法是一种简单而有效的方法,在图像降噪处理中广泛使用.但对于任意信号,在MSE意义上的最优信号估计是Wiener滤波器,在此基础上提出了一种基于小波域上的经验Wiener滤波器的设计方法,并应用在星图降噪中,实验结果表明,此方法比一般小波阈值降噪法的效果好得多.
Abstract
Wavelet threshold is simple and available in image procession, but the Wiener filtering is optimal for any space in the sense of MSE. A wavelet domain Wiener filtering is developed. The design and the application in star-image denoising of Wiener filtering are proceeding. The experimental result shows the Wiener filtering is better than the standard wavelet thresholding method.
马林立, 孙尧. 小波域中的维纳滤波法在星图降噪中的应用[J]. 红外与激光工程, 2004, 33(1): 55. 马林立, 孙尧. Application of wavelet domain Wiener filtering analysis to noise elimination in star-image denoising[J]. Infrared and Laser Engineering, 2004, 33(1): 55.
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