A Regularized Nonlinear Diffusion Approach for Texture Image Denoising

Author(s):  
Wallace Correa de O. Casaca ◽  
Maurílio Boaventura
2009 ◽  
Vol 29 (6) ◽  
pp. 1530-1535
Author(s):  
毛玉星 Mao Yuxing ◽  
何为 He Wei ◽  
张占龙 Zhang Zhanlong

2010 ◽  
Vol 29-32 ◽  
pp. 934-939
Author(s):  
Da Sheng Wu ◽  
Qing Qing Wen ◽  
Yu Ping Rao

This article introduces the gradient fidelity term into the functional model of the image denoising to obtain a new denoising functional model and derive the relative nonlinear diffusion denoising model. The new model has been proved that the bounded variation function is integrable, which will get rid of the problem of edge leaking. According to the experimental results, the application of this model is to prevent the "ladder" effect, the result of piecewise smooth can be acquired with more natural visual effects, meanwhile, the method has been proved more stable for the value calculation and has higher computational efficiency.


2012 ◽  
Vol 627 ◽  
pp. 484-488
Author(s):  
Da Li Chen ◽  
Ding Yu Xue ◽  
Yang Quan Chen

In this paper, five nonlinear diffusion models for fabric image denoising are introduced. The advantages and drawbacks of these five models are described through describing their implementation methods. Quantitative and perceptual comparison experiments are given to verify the performance of these methods. Finally some valuable conclusions about denoising performance of these five models are present which is helpful for choosing and using these models in fabric image denoising.


2006 ◽  
Author(s):  
Akhilesh R. Upadhyay ◽  
Sanjay N. Talbar ◽  
Trimbak R. Sontakke

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