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基于自由分布式FDR假设检验阈值算法的图像去噪
引用本文:张天瑜.基于自由分布式FDR假设检验阈值算法的图像去噪[J].西北轻工业学院学报,2010,28(1):118-123.
作者姓名:张天瑜
作者单位:无锡市广播电视大学机电工程系,江苏无锡214011
摘    要:小波阈值去噪算法中的核心问题是阈值的设定和阈值函数的选取.Donoho提出的通用阈值在实际的应用中效果并不十分理想.作者利用统计学中的自由分布式错误发现率假设检验方法来设定阈值,使得该阈值不依赖于信号的长度,并在软阈值函数和硬阈值函数的基础上提出了一种改进型阉值函数.仿真结果表明,与Donoho提出的小波阈值去噪算法相比,FDR阈值和改进型阈值函数的组合具有更好的去噪性能.

关 键 词:小波分析  图像去噪  闽值  阈值函数  错误发现率

IMAGE DENOISING BASED ON THRESHOLD ALGORITHM OF FREE DISTRIBUTED FDR HYPOTHESES TESTING
ZHANG Tian-yu.IMAGE DENOISING BASED ON THRESHOLD ALGORITHM OF FREE DISTRIBUTED FDR HYPOTHESES TESTING[J].Journal of Northwest University of Light Industry,2010,28(1):118-123.
Authors:ZHANG Tian-yu
Affiliation:ZHANG Tian-yu(Department of Mechanical , Electrical Engineering,Wuxi Radio & Television University,Wuxi 214011,China)
Abstract:The core problem of wavelet threshold denoising algorithm is threshold setting and threshold function selection.The universal threshold proposed by Donoho is not very ideal in practice.According to the method of free distributed false discovery rate hypotheses testing in statistics,the threshold is set and it does not depend on the length of signal.Moreover,a modified threshold function is proposed on the basis of soft threshold function and hard threshold function.The simulation results show that the combi...
Keywords:wavelet analysis  image denoising  threshold  threshold function  false discovery rate(FDR)  
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