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一种新的线性混合滤波器 被引量:5

New linear mixed filter
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摘要 提出一种新的滤波器,称为线性混合滤波器(简称为LMF),它适用于恢复被一类混合噪音(即一致脉冲噪音与高斯噪音)污染的数字图像。当混合噪音强度在一定范围内变化时,它具有自动调节机制。与若干已知的同类滤波器相比,LMF的速度更快,具有简单而统一的控制参数计算公式,而不是关于参数的选取范围。而且从实验结果可见,用LMF时峰值信噪比得到提高,均方误差得到降低。 A novel filter called Linear Mixed Filter(LMF) is proposed in this paper,which is suitable for digital images corrupted with mixed noises (impulse noise and Gaussian noise).lt has an automatic adjustment mechanism when the noise change. Comparing with some similar filters,it needs fewer time to restore an image,with simple and unified control parameter formulas (not a range of them) and the peak signal to noise ratio for a number of denoised images are increased while the mean square errors are rednced by experiments.
出处 《计算机工程与应用》 CSCD 北大核心 2008年第17期172-174,190,共4页 Computer Engineering and Applications
关键词 数字图像 高斯噪音 脉冲噪音 混合噪音 滤波器 digital image Gaussian noise impulse noise mixed noise filter
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参考文献14

  • 1Pitas I,Venetsanopoulos A N.Nonlinear digital fihers principles anti application[M].[S.l.]:Kluwer Academic Publishers, 1990.
  • 2Arce R.Detail-preserving ranked-order based filters for image processing[J].IEEE Trans Acoustics,and Speech Signal Processing, 1989,37( 1 ): 83-98.
  • 3蔡靖,杨晋生,丁润涛.模糊加权均值滤波器[J].中国图象图形学报(A辑),2000,5(1):52-56. 被引量:43
  • 4胡浩,王明照,杨杰.自适应模糊加权均值滤波器[J].系统工程与电子技术,2002,24(2):15-17. 被引量:41
  • 5Chen T,Wu H R.Adaptive impulse detection using centaur-weighted median filters[J].IEEE Signal Processing Letters,2001,8:1-3.
  • 6郭晓新,卢奕南,许志闻,王云霄,庞云阶.自适应定向加权中值滤波[J].吉林大学学报(理学版),2005,43(4):494-498. 被引量:11
  • 7关新平,赵立兴,唐英干.图像去噪混合滤波方法[J].中国图象图形学报(A辑),2005,10(3):332-337. 被引量:110
  • 8周刚,贾振红,覃锡忠.一种新的图像去噪混合滤波方法[J].激光杂志,2007,28(1):57-59. 被引量:13
  • 9Abreu E,Lightstone M,Mitra S,et al.A new efficient approach for the removal of impulse noise from highly corrupted images[J].IEEE Trans Image Processing, 1996,5: 1012-1025.
  • 10Garnett R,Huegerich T,Chui C,et al.A universal noise removal algorithm with an impulse detector[J].IEEE Transactions on hnage Processing, 2005,14 : 1747 1754.

二级参考文献37

  • 1张旭明,徐滨士,董世运.用于图像处理的自适应中值滤波[J].计算机辅助设计与图形学学报,2005,17(2):295-299. 被引量:159
  • 2关新平,赵立兴,唐英干.图像去噪混合滤波方法[J].中国图象图形学报(A辑),2005,10(3):332-337. 被引量:110
  • 3许卫全,张新楼,徐中佑,张砚臣.保持图像细节的局部自适应去噪滤波器新方法[J].信号处理,2005,21(2):191-194. 被引量:11
  • 4郭晓新,卢奕南,许志闻,王云霄,庞云阶.荧光造影图像序列的噪声滤波[J].吉林大学学报(理学版),2005,43(3):348-353. 被引量:3
  • 5章毓晋.图像工程(上册):图像处理和分析[M].北京:清华大学出版社,1999.154-155.
  • 6Pitas I, Venetsanopoulos A N. Nonlinear digital filters: Principles and applications[M]. Kluwer Academic Publishers, January 1990.(ISBN-0-7923-9049-0 ), also reprinted in Taiwan of China, 1993:416.
  • 7Lee Y H. Generalized median filtering and related nonlinear filtering technique[J]. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1985, 33 (3) :672 ~ 683.
  • 8Kaoru Arakawa. Median filter based on fuzzy rules and its application to image restoration[J]. Fuzzy Sets and Systems, 1996,77:3 ~ 13.
  • 9Arce G R, Gallagher N C. State Description for the Root Signal Set of Median Filters [J]. IEEE Trans Acoust, Speech, Signal Processing, 1982, 30: 894-902.
  • 10Wendt P D, Coyle E J, Gallagher N C. Stack Filters [J]. IEEE Trans Acoust, Speech, Signal Processing, 1986, 34: 898-911.

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