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基于邻域的小波系数阈值医学图像去噪研究
引用本文:刘冬梅,方立铭,程桂平,张晶.基于邻域的小波系数阈值医学图像去噪研究[J].安庆师范学院学报(自然科学版),2009,15(3):44-46,54.
作者姓名:刘冬梅  方立铭  程桂平  张晶
作者单位:皖南医学院医用物理教研室,安徽芜湖,241002;皖南医学院医学二系,安徽芜湖,241002
基金项目:皖南医学院2007年青年教师科研启动基金项目 
摘    要:为有效去除图像噪声并保护图像的细节信息,本文提出了一种基于邻域的小波系数阈值去噪方法,结合图像的邻域信息,通过比较窗口中邻域小波系数对噪声图像进行阈值处理达到有效降噪的目的。实验对比结果表明了该方法的有效性。

关 键 词:小波变换  图像去噪  领域系数

Studying on Wavelet Coefficient Thresholding Based on Neighboring for Medical Image Denoising
LIU Dong-mei,FANG Li-ming,CHENG Gui-ping,ZHANG Jing.Studying on Wavelet Coefficient Thresholding Based on Neighboring for Medical Image Denoising[J].Journal of Anqing Teachers College(Natural Science Edition),2009,15(3):44-46,54.
Authors:LIU Dong-mei  FANG Li-ming  CHENG Gui-ping  ZHANG Jing
Institution:1.Department of Medical physics;2.Second Department of Medical;Wannan Medical Institute;Wuhu 241002;China
Abstract:To reduce noise and protect detail information in image efficiently,a method of wavelet coefficient thresholding based on neighboring is proposed in this paper.Image denoising is processed by incorporating the neighboring information of image,and comparing neighboring wavelet coefficient.The experiment results show that the method is valid.
Keywords:wavelet transform  image denoise  neighboring coefficient  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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