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

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。

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.