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计算机工程 ›› 2010, Vol. 36 ›› Issue (14): 185-186. doi: 10.3969/j.issn.1000-3428.2010.14.067

• 图形图像处理 • 上一篇    下一篇

基于非下采样Contourlet和扩散的图像去噪

陈建军,田逢春,邱 宇,徐 鑫   

  1. (重庆大学通信工程学院,重庆 400030)
  • 出版日期:2010-07-20 发布日期:2010-07-20
  • 作者简介:陈建军(1978-),男,讲师、硕士,主研方向:光学图像处理;田逢春,教授;邱 宇、徐 鑫,博士研究生
  • 基金资助:
    重庆市自然科学基金资助项目(2009BB2359)

Image Denoising Based on Nonsubsampled Contourlet and Diffusion

CHEN Jian-jun, TIAN Feng-chun, QIU Yu, XU Xin   

  1. (College of Communications Engineering, Chongqing University, Chongqing 400030)
  • Online:2010-07-20 Published:2010-07-20

摘要: 根据非下采样Contourlet变换同时具有多尺度、多分辨分析和平移不变的性质,提出一种基于非下采样Contourlet变换和P-Laplace扩散相结合的图像去噪方法。该方法不但继承了非下采样Contourlet 变换捕捉边缘信息的能力,而且在P-Laplace扩散去噪时具有保持图像边缘信息的优点。实验结果表明该方法具有较好的图像去噪效果。

关键词: 图像去噪, 非下采样, Contourlet变换, 扩散

Abstract: Based on the properties of Nonsubsampled Contourlet Transform(NSCT), shift invariance, multiscales and multidirectional expansion, a novel image denoising method based on NSCT and P-Laplace diffusion is proposed. This method is able to inherit not only the ability of NSCT to catch the edge information but also the ability of P-Laplace proliferation to keep the edge information of an image. Simulation analysis and experimental results indicate that the proposed method outperforms the others in terms of visual quality and maintains much more detail information as well.

Key words: image denoising, nonsubsampled, Contourlet transform, diffusion

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