Image denoising using non linear diffusion tensors

Author(s):  
B Faouzi ◽  
H Amiri
2012 ◽  
Vol 2 (1) ◽  
pp. 12-16 ◽  
Author(s):  
Faouzi Benzarti ◽  
Hamid Amiri

2012 ◽  
Vol 6-7 ◽  
pp. 700-703
Author(s):  
Weng Cang Zhao ◽  
Fan Wang

In order to improve the effect of face image denoising, this paper put forward several face image denoising methods based on partial differential equations, including P-M non-linear diffusion equations and fourth-order partial differential equations. We use those two methods by establishing non-linear diffusion equations and fourth-order anisotropic diffusion partial differential equation. The P-M non-linear diffusion denoising method can remove noise in intra-regions sufficiently but noise at edges can not be eliminated successfully and line-like structures can not be held very well.While the fourth-order partial differential equations denoising can retain the local detail characteristics of the original face image. Finally, through the experimental results we can see the effect of the fourth-order partial differential equations denoising is better, which makes the later face image processing more accurate and promotes the development of face image processing.


2014 ◽  
Author(s):  
Jean-marie Mirebeau ◽  
Jérôme Fehrenbach ◽  
Laurent Risser ◽  
Shaza Tobji

Anisotropic Non-Linear Diffusion is a powerful image processing technique, which allows to simultaneously remove the noise and enhance sharp features in two or three dimensional images. Anisotropic Diffusion is understood here in the sense of Weickert, meaning that diffusion tensors are anisotropic and reflect the local orientation of image features. This is in contrast with the non-linear diffusion filter of Perona and Malik, which only involves scalar diffusion coefficients, in other words isotropic diffusion tensors. In this paper, we present an anisotropic non-linear diffusion technique we implemented in ITK. This technique is based on a recent adaptive scheme making the diffusion stable and requiring limited numerical resources.


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