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一种适合于边缘保存的混合噪声抑制方法
引用本文:杨冬云,李国辉.一种适合于边缘保存的混合噪声抑制方法[J].哈尔滨理工大学学报,2005,10(2):44-48.
作者姓名:杨冬云  李国辉
作者单位:黑龙江工程学院,电子工程系,黑龙江,哈尔滨,150050;哈尔滨工业大学信息工程系,黑龙江,哈尔滨,150001;哈尔滨理工大学,电气与电子工程学院,黑龙江,哈尔滨,150040
摘    要:为了解决边缘检测和混合噪声抑制之间的矛盾,基于小波变换、图像边缘检测的高频能量保存(HFPP)方法和抑制加性高斯白噪声的互能量交叉(MPC)方法,提出了一种结合中值滤波和互能量交叉(M&MPC)方法.该方法主要基于中值滤波适合于冲激性噪声抑制,而小波滤波适合于加性高斯白噪声抑制的特点.模拟实验结果表明,HFPP方法可以很好地检测图像主要边缘,而利用M&MPC方法可以改进混合噪声的抑制能力,该方法可以在边缘检测精确度和混合噪声抑制之间达到最佳折衷.

关 键 词:小波变换  边缘检测  混合噪声抑制
文章编号:1007-2683(2005)02-0044-04
修稿时间:2004年11月26

A Method of Mixed Noise Suppression for Edge-preserving
YANG Dong-yun,LI Guo-hui.A Method of Mixed Noise Suppression for Edge-preserving[J].Journal of Harbin University of Science and Technology,2005,10(2):44-48.
Authors:YANG Dong-yun  LI Guo-hui
Affiliation:YANG Dong-yun~
Abstract:Based on wavelet transform, a high frequency power preserving (HFPP) method is introduced for the edge detection of the images, and a mutual power cross (MPC) method is presented for the suppression of additive Gaussian white noise. In accordance with the edge detection and mixed noise suppression contradiction, a novel combined median filter and mutual power cross (M&MPC) method is proposed. This new combined M&MPC method is mainly based on that the class of median filters is suitable to the impulsive noise suppression and wavelet filters are suitable to additive Gaussian white noise suppression. The simulation results on Test images and Lena images show that the major edges of the images are detected well by the proposed HFPP method. The ability to suppress the mixed noise is improved by utilizing the combined M&MPC method. The new method optimizes the tradeoff between the accuracy of edge detection and the ability of the noise suppression.
Keywords:wavelet transform  edge detection  mixed noise suppression
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