摘要
论文提出一种新的基于小波域相关性的自适应阈值滤波算法。首先构造了一种基于空域相关系数的硬阈值函数,通过极小化该阈值函数对应的SURE估计得到均方差意义下自适应于信号和噪声的最优阈值。应用该阈值作用于小波域的空域相关系数,以达到去除噪声的目的。仿真实验表明,该方法可得到很好的滤波效果。
This paper proposes a novel adaptive wavelet denoising method by spatial correlation thresholding.A new hard thresholding function is presented applying to spatial correlation coefficients.The new thresholding function makes it possible to construct the adaptive algorithm based on SURE.The proposed method is very effective in adaptively finding the optimal threshold in mean square error(MSE)sense.Several numerical examples are given.The results show that this method can obtain good denoising performance.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第27期29-31,共3页
Computer Engineering and Applications
基金
国家自然科学基金项目(编号:60172037)资助
关键词
去噪
小波变换
空域相关
闭值
denoising,wavelet transform,spatial correlation,threshold
