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非局部混合噪音滤波器MNF的一种快速算法
引用本文:罗晓军,王世秀,李兵. 非局部混合噪音滤波器MNF的一种快速算法[J]. 湖南师范大学自然科学学报, 2012, 0(4): 16-20
作者姓名:罗晓军  王世秀  李兵
作者单位:商丘职业技术学院计算机系;长沙理工大学数学与计算科学学院;商丘广播电视台
基金项目:河南省教育厅自然科学基金资助项目(2009C110004);河南省高校青年骨干教师资助项目(2009GGJS-176);中山市科技攻关课题资助项目(20083A245)
摘    要:对非局部混合噪音滤波器MNF提出一种快速算法(Fast-MNF).该算法是对目前滤波效果较好的混合噪音滤波器MNF的一种改进,它对邻近窗口像素按其均值、梯度和方差的相似程度进行预分类,把均值比、梯度比和方差比均在给定阈值范围内的像素分为一类,让其参与滤波运算,否则被忽略,以此提高滤波速度.实验结果表明,Fast-MNF算法的滤波效果优于MNF,且运算速度提高20%以上.

关 键 词:高斯噪音  脉冲噪音  混合噪音  均值  梯度  方差

A Fast Algorithm to Nonlocal Mixed Noise Filter MNF
LUO Xiao-jun,WANG Shi-xiu,LI Bing. A Fast Algorithm to Nonlocal Mixed Noise Filter MNF[J]. Journal of Natural Science of Hunan Normal University, 2012, 0(4): 16-20
Authors:LUO Xiao-jun  WANG Shi-xiu  LI Bing
Affiliation:1.Department of Computer,Shangqiu Vocational and Technical College,Shangqiu 476000,China; 2.School of Mathematics and Computing Science,Changsha University of Science and Technology,Changsha 410076,China; 3.Shangqiu TV Station,Shangqiu 476000,China)
Abstract:A fast algorithm of mixed noise filter(Fast-MNF) is proposed,which is an improvement to MNF of better filtering effect at present.Neighboring pixels are classified,according to the mean value and gradient and variance similarity.The mean value and gradient and variance of the ratio within the range of a given threshold of pixels are divided into a class.Let them participate in the filtering operation,otherwise ignored,which can improve the filtering speed.The experimental results show that filtering effect of the Fast-MNF is better than the MNF and computing speed increases more than 20%.
Keywords:Gaussian noise  impulse noise  mixed noise  mean value  gradient  variance
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