摘要： Selecting threshold is the most important in threshold-based nonlinear filtering by wavelet transform. In this paper, a novel adaptive threshold is proposed by minimizing a Bayesian risk(It is adaptive to subband because it depends on data-driven estimate

关键词: 自适应阈值 图像去噪方法 马尔科夫模型 小波系数 图像处理