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
QIAO Nao-sheng1,2,WANG Xian-chun1,PENG Jian-ying1
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乔闹生1,2,王先春1,彭建英1
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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。
QIAO Nao-sheng1,2,WANG Xian-chun1,PENG Jian-ying1. P-M diffusion for image denoising[J]. Computer Engineering and Applications, 2009, 45(7): 199-200.
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.
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URL: http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2009.07.060
http://cea.ceaj.org/EN/Y2009/V45/I7/199