图像小波去噪的算子描述

Operator Description of Image Wavelet Denoising

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．

The scheme of image denoising based on two -dimensional discrete wavelet transform is suggested. The denoising algorithm is described with some operators. By thresholding the wavelet transform coefficients of noisy images, the original image can be reconstructed correctly. Different threshold selection and thresholding methods are discussed. A new adaptive local threshold scheme is proposed. Quantifying the performance of image denoising schemes by using the mean square error, the performance of the adaptive local threshold scheme is demonstrated, and compare with the universal threshold scheme. The experiment shows that image denoising using the former scheme performs better than the one using the latter scheme.