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一个基于四方向的拉普拉斯算子的四阶偏微分去噪方法 被引量：4

A fourth order partial differential denoising method based on four directional Laplacian operator
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摘要 将"四方向"(水平、垂直、斜左上、斜左下四个方向)引入拉普拉斯算子,改进了You-Kaveh模型,提出一个新的四阶偏微分去噪方法.实验结果表明,新方法比You-Kaveh模型能更好地去除高斯噪声,PSNR值得到了提高. The ＂four directions＂ （ horizontal, vertical, diagonal left top and diagonal left bottom directions） is introduced into the Laplacian operator, and the You - Kaveh model is improved, a new fourth order partial differential denoising method is proposed. The result of experiences shows that the new method can remove the Gaussian noise better than the You - Kaveh model, higher values of PSNR are gained.
作者 曾超 王美清
机构地区 福州大学数学与计算机科学学院
出处 《福州大学学报（自然科学版）》 CAS CSCD 北大核心 2008年第1期52-54,共3页 Journal of Fuzhou University(Natural Science Edition)
基金 福建省自然科学基金资助项目(A0510005) 福州大学发展基金资助项目(2005-XQ-16)
关键词 You—Kaveh模型 高斯噪声 拉普拉斯算子 You - Kaveh model Gaussian noise Laplacian operator
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献6

二级参考文献23

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共引文献11

同被引文献37

  • 1谢美华.基于四方向导数信息的图像非线性扩散去噪[J].红外技术,2004,26(6):51-53. 被引量：3
  • 2付树军,阮秋琦,王文洽.偏微分方程(PDEs)模型在图像处理中的若干应用[J].计算机工程与应用,2005,41(2):33-35. 被引量：14
  • 3赵志刚,万娇娜,管聪慧.基于小波包变换与自适应阈值的图像去噪[J].中国图象图形学报,2007,12(6):977-980. 被引量：13
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  • 10You Yu-li.Four-order partial differential equations for noise removal[J].IEEE Trans on Image Processing,2000,9(10):1723-1729.

引证文献4

二级引证文献21

福州大学学报（自然科学版）
2008年 第1期

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