基于Shearlet变换的图像去噪算法  

Image de-noising algorithm based on Shearlet transform

作　　者：胡海智[1] 孙辉[1,2] 邓承志[2] 陈习[2] 柳枝华[1] 占惠星[1] 

机构地区：[1]南昌航空大学信息工程学院,南昌330063 [2]南昌工程学院计算机科学与技术系,南昌330099

出　　处：《计算机应用》2010年第6期1562-1564,共3页journal of Computer Applications

基　　金：国家自然科学基金资助项目(60462003);江西省教育厅科技项目(GJJ09366;GJJ10630)

摘　　要：针对传统变换域去噪算法的不足,提出一种基于Shearlet变换的图像去噪算法。该算法首先在Shearlet变换理论基础上实现了一种分解和重构的方法,然后用Monte-Carlo方法对高频系数进行估计,最后通过阈值函数进行收缩去噪。实验结果表明,该算法在抑噪和保持边缘的同时,取得了较好的视觉效果和更高的PSNR值。According to the deficiency of de-noising algorithm based on the traditional transform domain,this paper proposed an image de-noising algorithm based on Shearlet transform.Firstly,a Shearlet decomposition and reconstruction implementation method was proposed in this paper.And then,the Monte-Carlo method was used to do estimation of the high-frequency coefficients.Finally the shrinkage de-noising would be done according to the threshold function.The experimental results demonstrate that the method can remove noise and remain edges,and obtain better visual effect and higher PSNR.

关 键 词：SHEARLET变换 去噪 峰值信噪比 图像处理 多尺度几何分析 

分 类 号：TN911.73[电子电信—通信与信息系统]