结合BM3D和多级非线性加权平均中值滤波的遥感影像混合噪声去噪方法

提出了一种基于三维块匹配（BM3D）和多级非线性加权平均中值滤波的遥感影像混合噪声去噪方法，使用coief3小波和sym2小波替换传统三维块匹配算法中的bior1.5和hear参数，将三维块匹配算法和多级非线性加权平均中值滤波相结合以提高算法对混合噪声的去噪能力。进行一个仿真对比试验和一个真实遥感影像去噪试验，试验表明，本文提出的方法在遥感影像混合噪声去噪方面效果要优于传统混合噪声去噪方法。

Mixed noise denoising method for remote sensing images combining BM3D and multi-level nonlinear weighted average median filtering

A mixed noise denoising method for remote sensing images based on BM3D and multilevel nonlinear weighted average median filtering is proposed. The bior1.5 and hear parameters in the traditional 3D block matching algorithm are replaced by coief3 wavelet and sym2 wavelet, and the 3D block matching algorithm and multistage nonlinear weighted average median filtering are combined to improve the denoising ability of the algorithm for mixed noise. A simulation comparison experiment and a real remote sensing image denoising experiment are carried out. The experiment shows that the method proposed in this paper is better than the traditional mixed noise denoising method in the aspect of remote sensing image mixed noise denoising.