计算机应用 ›› 2010, Vol. 30 ›› Issue (06): 1556-1558.

• 图形图像处理与模式识别 • 上一篇    下一篇

基于非下采样Contourlet变换和图正则化去噪

刘国金1,曾孝平2,刘刈2   

  1. 1. 重庆大学通信工程学院
    2.
  • 收稿日期:2009-11-19 修回日期:2010-01-22 发布日期:2010-06-01 出版日期:2010-06-01
  • 通讯作者: 刘国金
  • 基金资助:
    基于简单导联的完整胎儿心电提取方法及应用研究;基于图谱理论的视觉注意计算模型研究

Image denoising based on graph regularization and nonsubsampled Contourlet transform

  • Received:2009-11-19 Revised:2010-01-22 Online:2010-06-01 Published:2010-06-01

摘要: 用非下采样Contourlet变换提取图像的边缘、轮廓和纹理等具有高维奇异性的特征,并将提取的特征用来构造图的权重函数,用建立在图上的正则化方程实现图像的去噪处理。仿真实验结果表明:该方法能有效地去除图像中的噪声,在去噪性能上优于其他的偏微分方程方法。

关键词: 图象去噪, 非下采样Contourlet, 图正则化, 图论, 偏微分方程

Abstract: The nonsubsampled Contourlet transform was used to capture the features such as edge, contour and texture. After that, a weighting function was generated by using the features. Finally, graph regularization equation was used to filter the noisy image. The simulation results show that the proposed method can effectively remove the noise and is superior to other partial differential equation methods.

Key words: image processing, nonsubsampled contourlet transform, graph regularization, graph, partial differential equation