P-M扩散法的图像去噪研究

doi:10.3778/j.issn.1002-8331.2009.07.060

计算机工程与应用 ›› 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 • 上一篇下一篇

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.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

收稿日期:2008-05-16 修回日期:2008-07-21 出版日期:2009-03-01 发布日期:2009-03-01
通讯作者: 乔闹生

P-M diffusion for image denoising

QIAO Nao-sheng^1,2,WANG Xian-chun¹,PENG Jian-ying¹

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

摘要/Abstract

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。

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.

乔闹生^1,2,王先春¹,彭建英¹. P-M扩散法的图像去噪研究[J]. 计算机工程与应用, 2009, 45(7): 199-200.

QIAO Nao-sheng^1,2,WANG Xian-chun¹,PENG Jian-ying¹. P-M diffusion for image denoising[J]. Computer Engineering and Applications, 2009, 45(7): 199-200.

P-M扩散法的图像去噪研究

P-M diffusion for image denoising

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