自适应模糊阈值的图像去噪算法

Image Denoising Based on Adaptive Fuzzy Thresholding Approach

小波阈值去噪是小波域去噪的主要方法之一,该方法通过选取合适的阈值,采用阈值函数对小波系数进行非线性处理,获得基于均方差的最佳去噪效果。在Dohono提出的小波阈值去噪的基础上,提出了将自适应模糊阈值函数和中值滤波相结合的去噪方法。仿真结果表明,该方法具有良好的去噪性能,并且在去除高斯白噪声和脉冲噪声的同时,能够获得良好的边缘保持效果。

The wavelet threshold denoising is one of the major methods of denoising in the wavelet domain.It selects appropriate threshold and uses the threshold function to process wavelet coeffecient in terms of the mean square deviation.On the basis of wavelet threshold de-nosing method proposed by Dohono,this paper proposes a denoising approach that combines adaptive fuzzy threshold function with median filter.This method can effectively remove gaussian white noises and impulse noises.The simulation experimental results demonstrate that the proposed approach is more effective both in reserving edges and in removing noise.