Adaptive Non-linear Diffusion Based Local Binary Pattern for Image Denoising

Author(s):  
Azizi Abdallah ◽  
Azizi Zineb
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.


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

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