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基于剩余噪声检测的自适应中值滤波算法
引用本文:林其伟.基于剩余噪声检测的自适应中值滤波算法[J].武汉理工大学学报(信息与管理工程版),2008,30(5).
作者姓名:林其伟
作者单位:华侨大学,信息科学与工程学院,福建,泉州,362021
基金项目:福建省自然科学基金,国务院侨务办公室科研项目
摘    要:在对图像中噪声模型分析的基础上,提出了一种基于剩余噪声检测的自适应中值滤波算法.通过对剩余脉冲的检测,自适应地改变滤波器窗口尺寸,从而有效地滤除密度较大的脉冲干扰,同时较好地保留图像的细节.对实际图像的测试结果表明,所提出算法的输出结果优于标准中值滤波器.

关 键 词:自适应  噪声模型  中值滤波  剩余脉冲

Residual Noise Detecting Based Adaptive Median Filtering Algorithm
LIN Qiwei.Residual Noise Detecting Based Adaptive Median Filtering Algorithm[J].Journal of Wuhan University of Technology(Information & Management Engineering),2008,30(5).
Authors:LIN Qiwei
Affiliation:LIN QiweiLIN Qiwei: Assoc.Prof.,School of Information Science , Engineering,Huaqiao University,Quanzhou 362021,China.
Abstract:After analyzing the noise pattern of the image,an adaptive median filter algorithm was proposed.By means of residual impulse noise detection,the window size of median filter was chosen adaptively to remove the high density impulse noise while preserving the details of the image.The experimental results indicate that the proposed algorithm is superior to the standard median filter in image quality and processing speed.
Keywords:adaptive  noise pattern  median filtering  residual impulse noise  
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