基于平稳小波变换的邻域依赖自适应软阈值图像降噪Adaptive Soft Threshold Image De-noising Based on Stationary Wavelet Transform and Neighbor Dependency
矫媛;赵志刚;黄斌文;
摘要(Abstract)：
传统正交小波变换降噪方法会引起图像边缘失真,针对其不足,研究了平稳小波变换图像降噪。平稳小波变换去除了下抽样处理,包含在小波系数中的信息是冗余的,同时结合贝叶斯估计的自适应软阈值,提出了一种新的图像降噪算法。通过仿真实验将该方法与Winner2,VisuShrink,BayesShrink方法进行比较,试验结果表明,该方法不仅有效地去除了噪声,而且提高了图像的峰值信噪比。
关键词(KeyWords)： 平稳小波变换;图像降噪;自适应阈值;邻域依赖
基金项目(Foundation):
作者(Author): 矫媛;赵志刚;黄斌文;
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参考文献(References)：
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