摘要
利用小波域Wiener滤波和空间域自适应Wiener滤波的特点,提出一种基于小波域自适应Wiener滤波和空间域自适应Wiener滤波的组合滤波方法。该方法首先在小波域进行自适应Wiener滤波,对恢复图像中的残留噪声方差进行重新估计,再在空间域进行自适应Wiener滤波,这种方法提高了恢复图像的精度。仿真实验表明,与单独的小波域和空间域Wiener滤波相比,该方法的均方误差最小,去噪效果更优。
Using the characteristics of wavelet domain adaptive Wiener filtering and spatial domain adaptive Wiener filtering, this paper presents a combined filtering method based on an adaptive Wiener filtering in wavelet domain and an adaptive Wiener filter in spatial domain.Firstly a pre-denoised image is obtained with the thresholding denoising in wavelet domain and the residual noise variance of that is re-estimated.Then an adaptive Wiener filtering in spatial domain is applied to the reconstructed image to improve the accuracy.Computer simulation results show that,compared with a separate wavelet and spatial domain Wiener filtering,the mean squared error of the proposed method is the smallest and it obtains better denoising results.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第31期169-171,共3页
Computer Engineering and Applications
