Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (7): 199-200.DOI: 10.3778/j.issn.1002-8331.2009.07.060

• 图形、图像、模式识别 • Previous Articles     Next Articles

P-M diffusion for image denoising

QIAO Nao-sheng1,2,WANG Xian-chun1,PENG Jian-ying1   

  1. 1.School of Physics and Electronic,Hunan University of Arts and Science,Changde,Hunan 415000,China
    2.School of Optoelectronic Information,University of Electronic Science and Technology of China,Chengdu 610054,China
  • Received:2008-05-16 Revised:2008-07-21 Online:2009-03-01 Published:2009-03-01
  • Contact: QIAO Nao-sheng

P-M扩散法的图像去噪研究

乔闹生1,2,王先春1,彭建英1   

  1. 1.湖南文理学院 物理与电子科学学院,湖南 常德 415000
    2.电子科技大学 光电信息学院,成都 610054
  • 通讯作者: 乔闹生

Abstract: Principle and characteristic of P-M diffusion for image denoising are analyzed in theory,and the selection of parameter k of the P-M diffusion is analyzed also,the numerical calculation method of the gradient algorithm in the application of image denoising is discussed,and the improved P-M diffusion algorithm is obtained based on the method of traditional P-M diffusion.The results of experiment show that the improved algorithm can remove noise efficiently,and can keep the edges better than the traditional method of the P-M diffusion.

摘要: 从理论上分析了用P-M扩散方法去除图像噪声的原理与特点,分析了P-M扩散中参数k的选取问题,讨论了去噪应用中梯度算子的数值计算方法,在传统的P-M扩散方法的基础上得到了改进的P-M扩散算法。实验结果表明:与传统算法相比,改进的P-M扩散算法能有效抑制图像噪声,更好地保持边缘细节。