首页 | 官方网站   微博 | 高级检索  
     

基于偏微分方程的图像去噪综合模型
引用本文:杜宏伟.基于偏微分方程的图像去噪综合模型[J].计算机工程与应用,2008,44(20):198-201.
作者姓名:杜宏伟
作者单位:云南机电职业技术学院,昆明,650203
摘    要:介绍了基于偏微分方程(PDE)的两种去噪模型,即ROF模型和LLT模型。根据对这两种模型的比较,提出了应用权函数来合并ROF模型和LLT模型的综合模型。实验表明,综合模型既能克服ROF模型和LLT模型的缺点,又能融合它们的优点,在去噪、保护平滑区域、保护边缘和纹理细节方面都有较好的表现。

关 键 词:图像去噪  偏微分方程  ROF模型  LLT模型  综合模型
收稿时间:2007-10-10
修稿时间:2008-1-17  

Combined model for image denoising based on partial differential equations
DU Hong-wei.Combined model for image denoising based on partial differential equations[J].Computer Engineering and Applications,2008,44(20):198-201.
Authors:DU Hong-wei
Affiliation:Yunnan Vocational College of Mechanical &; Electrical Technology,Kunming 650203,China
Abstract:The paper introduces two kinds of model for denoising based on partial differential equations,called the ROF model and the LLT model.According to the comparison of the two models,this paper proposes a combined model which combines ROF model and LLT model by weight function.The experiment shows that the combined model not only can overcome the shortcomings of ROF model and LLT model,but also can integrate their advantages.It has better performance in denoising,protecting smoothing region,protecting the edge and texture details.
Keywords:image denoising  partial differential equation  ROF model  LLT model  combined model
本文献已被 万方数据 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号