Image De-noising Based on Nonlocal Diffusion Tensor

被引:0
|
作者
Yu, Han [1 ]
机构
[1] Xidian Univ, Dept Math, Sch Sci, Xian 710071, Peoples R China
关键词
nonlocal operators; diffusion tensor; de-noising; texture structure; ANISOTROPIC DIFFUSION; EDGE-DETECTION;
D O I
10.1109/IAS.2009.193
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The nonlocal structure tensor of images is defined by using the nonlocal spatial gradients. The eigenvectors of the nonlocal structure tensor consist in a characteristic space for the image, based on which the nonlocal diffusion tensor is constructed. Utilizing the nonlocal diffusion tensor, we introduce the nonlocal anisotropic diffusion model for image de-noising. The model we proposed differs from the local anisotropic diffusion in that, not only neighboring pixels but also pixels faraway with similar intensities are concerned in our model. The main advantage of the model is that it protects textures much better than the local model.
引用
收藏
页码:501 / 504
页数:4
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