首页 | 本学科首页   官方微博 | 高级检索  
     检索      

小波域局部维纳滤波器估计误差分析及图像去噪
引用本文:侯建华,田金文,柳健.小波域局部维纳滤波器估计误差分析及图像去噪[J].光子学报,2007,36(1):188-191.
作者姓名:侯建华  田金文  柳健
作者单位:1. 中南民族大学电子信息工程学院,武汉,430074;华中科技大学图像信息处理与智能控制教育部重点实验室,武汉,430074
2. 华中科技大学图像信息处理与智能控制教育部重点实验室,武汉,430074
基金项目:国家“十五”高技术研究发展计划重点(2002A A133010)资助
摘    要:对小波域局部维纳滤波算法的估计误差进行了理论分析,推导了估计误差平方期望表达式,得到了一种观测系数局部方差估计的阈值.以此为基础,提出了一种小波域图像去噪算法.先对观测系数做阈值化处理,再进行局部自适应维纳滤波.实验结果表明,该方法提高了真实信号系数方差估计的准确度,在去噪性能上优于Mihcak等提出的LAWML算法.

关 键 词:局部维纳滤波器  估计误差  小波系数  图像去噪
文章编号:1004-4213(2007)01-0188-4
收稿时间:2005-09-27
修稿时间:2005-09-27

Analysis of the Errors in Locally Adaptive Wavelet Domain Wiener Filter and Image Denoising
HOU Jian-hua,TIAN Jin-wen,LIU Jian.Analysis of the Errors in Locally Adaptive Wavelet Domain Wiener Filter and Image Denoising[J].Acta Photonica Sinica,2007,36(1):188-191.
Authors:HOU Jian-hua  TIAN Jin-wen  LIU Jian
Institution:(1 College of Electronic Information Engineering,South-Central University for Nationalities,Wuhan 430074)
(2 State Key Laboratory for Image Processing & Intelligence Control,Huazhong University of Science & Technology,
Wuhan 430074)
Abstract:The estimation error occurring in locally adaptive wavelet domain Wiener filter is analyzed theoretically and the expected square error is derived,thus resulting in a threshold for local variance estimation of observed wavelet coefficients.Based on the analysis,the paper proposes a wavelet domain image denoising algorithm,in which the observed wavelet coefficients are firstly thresholding,and then locally adaptive Wiener filtering is implemented.Experiment results demonstrate that the presented method has improved the accuracy of variance estimation,and yielded better denoising performance comparing with Mihcak′s LAWML algorithm.
Keywords:Locally wiener filter  Estimation error  Wavelet coefficients  Image denoising
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《光子学报》浏览原始摘要信息
点击此处可从《光子学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号