| 基于改进型P＆M模型算法的图像去噪 |
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| 引用本文： | 张天瑜.基于改进型P＆M模型算法的图像去噪[J].吉林工学院学报,2009,30(3):301-306. |
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| 作者姓名： | 张天瑜 |
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| 作者单位： | 无锡市广播电视大学机电工程系,江苏无锡,214011
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| 摘 要： | 高斯滤波算法在去噪时能平滑图像,但是会破坏图像的边缘细节,而基于PDE的各向异性扩散的P＆M模型算法在去噪时能保留图像的边缘细节,但是会出现零散的斑点。结合两种算法的优点,通过对扩散系数进行改进,提出一种改进型P＆M模型算法。仿真结果表明,该算法能够有效地去除噪声图像中的高斯白噪声和椒盐噪声,能够更好地保留图像的边缘细节,与高斯滤波算法和P＆M模型算法相比,改进型P＆M模型算法具有更好的去噪性能。
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| 关 键 词： | 图像去噪 偏微分方程 高斯滤波算法 P&M模型算法 扩散系数 各向异性扩散 梯度阈值 |
Image denoising based on modified P&M model algorithm |
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| ZHANG Tian-yu.Image denoising based on modified P&M model algorithm[J].Journal of Jilin Institute of Technology,2009,30(3):301-306. |
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| Authors: | ZHANG Tian-yu |
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| Affiliation: | Department of Mechanical and Electrical Engineering;Wuxi Radio & Television University;Wuxi 214011;China |
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| Abstract: | Gaussian filtering algorithm can smooth image when it is used to denoise image,but it will destroy the edge details of image.Anisotropic diffusion P&M model algorithm based on PDE can retain the edge details of image when it is used to denoise image,but scattered dots will appear.Combined with the advantages of two algorithms,a modified P&M model algorithm is proposed by improving diffusion coefficient.The simulation results show that the proposed algorithm can remove Gaussian white noise and salt and peppe... |
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| Keywords: | image denoising partial differential equation Gaussian filtering algorithm P&M model algorithm diffusion coefficient anisotropic diffusion gradient threshold |
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