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给出了一种基于二维离散小波变换的图像去噪方法，并用算子的形式加以描述，通过对小波变换系数进行阈值处理实现图像的去噪．讨论了不同的阈值选取方法和阈值策略，并提出了一种自适应局部阈值法．用均方差衡量去噪性能，实验结果证明：用自适应局部阈值法去噪好于全局阈值法去噪．
An image denoising method based on two-dimensional discrete wavelet transform is given and described by operator. Thresholding of the wavelet transform coefficients is used to denoise the image. Different threshold selection methods and threshold strategies are discussed, and an adaptive local threshold method is proposed. The mean square error is used to measure the denoising performance. The experimental results show that denoising with adaptive local threshold method is better than global threshold method.