基于空间屏蔽的M通道小波星图去噪法

小波图像去噪已经成为目前图像去噪的主要方法之一，在分析了小波变换的基本理论和小波变换的多尺度分析基础上，根据多尺度小波变换的多分辨特性，提出了M通道小波变换去噪方法；在该方法中，根据噪声信号小波变换的极大值随尺度的加大而显著减少的特点，将一种基于多尺度分析的空间屏蔽滤波法用于对小波系数进行处理。并将此方法用于星图降噪处理中，收到良好的效果。

The Method of Star-image Denoising Based M-channel Wavelet transforms And Space-shield filtering

Wavelet image denoising has been well acknowledged as an important method of image denoising. The basic theory and the multi-scaling of the wavelet transform are analysed. According to the characteristics of the multi-scaling analysis, the method of M-channels based on the multi-scaling of the wavelet transforms is presented. In this method, based on the fact that the modulus maximums of the noise wavelet transform reduce dramatically with the increase of the scale, the coefficients of wavelet transform are processing using the method of space-shield filtering. The method is used in the star-image denoising. We obtain result that this more advanced to the noise elimination.