说明：  在小波 域图像去噪算法中，基于统计模型的去噪算法由于充分利用了已知的先验信息，取得较好的 去噪效果，是近来小波去噪领域研究的热点。本文着重研究小波系数的统计模型，并将其应 用于图像去噪和纹理分析中
(In the wavelet domain image denoising algorithm, de-noising algorithm based on statistical models known as take full advantage of a priori information, to obtain better denoising results of recent research in the field of wavelet denoising hot spots. This article focuses on studies of the statistical model of wavelet coefficients and applied to image denoising and texture analysis)