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P-M扩散方程图像去噪方法分析 被引量：7

An analysis of the method of P-M diffusion equation for image denoising
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摘要 目的对P-M扩散方程图像去噪方法的原理及参数选取问题进行分析。方法通过傅立叶变换法和图像特征方向的正交坐标系方法。结果该方法比从P-M扩散方程本身出发讨论其去噪原理更为直观。结论为P-M扩散方程图像去噪的参数选取提供了理论依据。 Aim The principle and the selection of parameter of the method of P-M diffusion equation for image denoising is analyzed. Methods The methods of fourier transform and orthogonal coordination based on the directions of the image feature are used. Results The discussed denoising principle based on these methods is more easily to understood than that based on P-M diffusion equation. Conclusion The method provides theoretical basis for the selection of parameter for P-M diffusion equation for image denoising.
作者 陈一虎
机构地区 宝鸡文理学院数学系
出处 《宝鸡文理学院学报（自然科学版）》 CAS 2010年第4期14-17,共4页 Journal of Baoji University of Arts and Sciences(Natural Science Edition)
基金 陕西省教育厅科学研究计划项目(No.09JK3292010JK400) 宝鸡文理学院科研计划项目(No:YK073) 陕西省自然科学基础研究计划项目(No.2009JM1013)
关键词 图像去噪 P-M扩散 梯度算子 image denoising P-M diffusion gradient operator
分类号 TP391.4 [自动化与计算机技术—计算机应用技术]
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参考文献7

  • 1Arthur Chun-Chieh Shih,Hong-Yuan Mark Liao,Chun-Shien Lu.A new iterated two-band diffusion equation:theory and its application.[J].IEEE Transaction on Image Processing,2003,12(4):466-476.
  • 2Ilya Pollak,Alan S Willsky,Hamid Krim.Image segmentation and edge enhancement with stabilized inverse diffusion equations[J].IEEE Transaction on Image Processing,2000,9(2):256-266.
  • 3Joachim Weickert.A Review of Nonlinear Diffusion Filtering[R].Scale-Space Theory in Computer Vision,Lecture Notes in Computer Science,Springer,Berlin,1997,Vol.1252:3-28.
  • 4PERONA P,MALIK J.Scale-space and edge detection using anisotropic diffusion[J].IEEE Transaction on Pattern Analysis and Machine Intelligence,1990,12(7):629-639.
  • 5Guy Gilboa,Yehoshua Y Zeevi,Nir A Sochen.Forward and backward diffusion processes for adaptive image enhancement denoising[J].IEEE Transactions on Image Processing,2002,11(7):689-703.
  • 6谢美华,王正明,谢华英.图像去噪的偏微分方程模型的最优参数选取[J].遥感技术与应用,2005,20(2):261-265. 被引量：8
  • 7陈一虎,叶正麟.一种改进的各向异性扩散图像去噪方法[J].计算机工程与应用,2008,44(13):170-172. 被引量：14

二级参考文献25

  • 1谢美华,王正明,谢华英.图像去噪的偏微分方程模型的最优参数选取[J].遥感技术与应用,2005,20(2):261-265. 被引量：8
  • 2You Yu-li,Kaveh M.Fourth-order partial differential equations for noise removal[J].IEEE Transactions on Image Processing,2000,9 (10) : 1723-1730.
  • 3Catte F,Lions P L,Morel J M,et al.Image selective smoothing and edge detection by nonlinear diffusion[J].SIAM Journal on Numerical Analysis, 1992,29(2): 182-193.
  • 4You Yu-li,Kaveh M.Blind image restoration by anisotropic regularization[J].IEEE Transactions on Image Processing, 1999,8 (3) : 396-407.
  • 5CHEN Yun-mei,Bose P.On the incorporation of time-delay regularization into curvature-based diffusion[J].Journal Mathematical Imaging and Vision,2004, 14: 149-164.
  • 6Anderson G L,Netravali A N.Image restoration based on a subjective criterion[.1].IEEE Transaction systems.Man and Cyberneties, 1976, CMC-6(12) : 845-853.
  • 7Karunasekera S A,Kingsbury N G.A distortion measure for blocking artifacts in images based on human visual sensitivity[J]. IEEE Transactions on Image Processing, 1995,4(6) : 713-724.
  • 8Shib A C C,Liao Hong-yuan M,Lu Chun Shien.A new iterated two-band diffusion equation:theory and its application[J].IEEE Transaction on Image Processing, 2003,12(4) : 466-476.
  • 9Pollak I,Willsky A S,Krim H.Image segmentation and edge enhancement with stabilized inverse diffusion equations[J].IEEE Transaction on Image Processing, 2000,9(2) : 256-266.
  • 10Weiekert J.A review of nonlinear diffusion filtering [C]//Leeture Notes in Computer Science:Scale-Space Theory in Computer Vision.Berlin : Springer, 1997,1252 : 3-28.

共引文献20

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引证文献7

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宝鸡文理学院学报（自然科学版）
2010年 第4期

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