节点文献

去除乘性噪声的非局部扩散模型

Non-local diffusion model to remove multiplicative noises

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 刘强尹景学李晓峰宋慧娟

【Author】 LIU Qiang1,YIN Jing-xue1,LI Xiao-feng2,SONG Hui-juan1(1.College of Mathematics,Jilin University,Changchun 130012,China;2.Northeast Institute of Geography and Agroecology,Chinese Academy of Science,Changchun 130012,China)

【机构】 吉林大学数学学院中国科学院东北地理与农业生态研究所

【摘要】 提出了一种基于非局部扩散的去除乘性噪声的模型。该模型根据图像噪声为高斯噪声的假设建立图像恢复的能量泛函,由变分法得到偏微分方程。通过人工合成图像和真实图像的实验结果可知,本文提出的模型在去噪效果方面优于基于有界变差的乘性噪声模型。

【Abstract】 A model for the removal of multiplicative noises was proposed based on the non-local diffusion method.Under the assumption that the image is corrupted by Gaussian noise,the energy functional for image recovery was established and a partial differential equation was obtained by the calculus of variation.Experiments on synthetic image and real-world image were conducted.Results show that the denoising effect of the proposed model is better than that of the model based on bounded variation.

【基金】 国家自然科学基金项目(10531040,J0630104,10801061,10826042);博士后科学基金项目;“985工程”研究生创新基金项目(20080111)
  • 【文献出处】 吉林大学学报(工学版) ,Journal of Jilin University(Engineering and Technology Edition) , 编辑部邮箱 ,2009年06期
  • 【分类号】TN957.5
  • 【被引频次】4
  • 【下载频次】222
节点文献中: 

本文链接的文献网络图示:

本文的引文网络