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提出了一种三层组合滤波的去噪方法,在小波BayesShrink阈值与自适应中值滤波的基础上增加第三层Wiener滤波,利用Wiener滤波对信噪比高的信号去噪效果好的特点可有效去除残留的混合噪声,为了在去噪过程中保留影像的边缘,在滤波过程中加入了边缘提取算法,对影像的细节进行保留使去噪后的影像更加清晰。试验表明,本文提出的三层滤波方法在去除遥感影像常见的高斯与脉冲混合噪声时,效果要明显优于传统的两层组合滤波算法。
A three-layer combination filtering denoising method is proposed. Based on the wavelet BayesShrink threshold and adaptive median filtering, the third layer Wiener filtering is added, and the Wiener filtering is used to denoise the signal with high SNR. Effectively remove residual mixed noise. In order to preserve the edge of the image during denoising, an edge extraction algorithm is added to the filtering process. The detail of the image is preserved to make the denoised image clearer. Experiments show that the proposed three-layer filtering method is obviously better than the traditional two-layer combined filtering algorithm in removing Gaussian and impulsive hybrid noise from remote sensing images.