一种基于小波包变换的图像去噪算法

A Denoise Algorithms based On Fuzzy Wavelet Packets Transform

根据信号和噪声的小波系数在不同分解尺度上的分布不同,结合模糊理论和小波包分解,提出一种消除图像噪声的算法——模糊小波包去噪算法。该算法对小波包解后的高频系数,不同方向的系数采用不同的滤波方法。实验证明,与软阈值去噪算法和小波包阈值去噪算法相比,该算法能更有效地去除噪声和保持图像边缘细节。

According to the different distribution of Signals and noises under the different scales of the wavelet packets transform,a new fuzzy wavelet packet de-noise algorithm based on wavelet packets transform and fuzzy theory is proposed. Different filtering methods are adopted under the different scales of the wavelet packets transform. This method is proved more effective both in reserving the edge and in removing noise by a simulation example and comparison with other wavelet de-noise algorithm.