Computer Science ›› 2018, Vol. 45 ›› Issue (11): 278-282.doi: 10.11896/j.issn.1002-137X.2018.11.044

• Graphics, Image & Pattern Recognition • Previous Articles     Next Articles

Image Denoising Method Combining Kernel Function and Nonlinear Partial Differential Equation

CHEN Peng, ZHANG Jian-wei   

  1. (College of Mathematics and Statistics,Nanjing University of Information Science and Technology,Nanjing 210044,China)
  • Received:2017-10-11 Published:2019-02-25

Abstract: The traditional nonlinear diffusion filtering methods use the traditional gradient operator in image denoising,which may easily lead to missing details.In view of this shortcoming,a denoising method based on nonlinear diffusion filter was constructed according to the nonlinear partial differential equation and the image structure information.In this method,the kernel function is used to adaptively adjust the weight coefficient in the multi direction Laplasse operator template,and the influence of image noise is weaken by selecting the appropriate search window width by using the nonlocal information.The experimental results show that this method can not only save the image texture details,but also achieve good denoising results.

Key words: Nonlinear partial differential equation, Image denoising, Laplasse operator, Kernel function, Non-local information

CLC Number: 

  • TP391.4
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