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依据信号与噪声的小波变换在不同分辨率下呈现不同特性的特点，提出了多分辨率支集图像低通滤波方法。通过与经典的高斯低通滤波方法实验结果比较，证明了本文方法具有较强的抑制图像噪声能力
According to the characteristics of different characteristics of wavelet transform of signal and noise at different resolutions, a multi-resolution branch-set image low-pass filtering method is proposed. Compared with the experimental results of the classical Gaussian low-pass filtering method, it is proved that the proposed method has a strong ability to suppress image noise