A denoising PDE model based on isotropic diffusion and total variation models

Document Type : Research Paper


1 Department of Mathematics and statistics, Mashhad Branch, Islamic Azad University, Mashhad, Iran.

2 Department of Applied Mathematics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.


In this paper, a denoising PDE model based on a combination of the isotropic diffusion and total variation models is presented. The new weighted model is able to be adaptive in each region in accordance with the image’s information. The model performs more diffusion in the flat regions of the image, and less diffusion in the edges of the image. The new model has more ability to restore the image in terms of peak signal to noise ratio and visual quality, compared with total variation, isotropic diffusion, and some well-known models. Experimental results show that the model is able to suppress the noise effectively while preserving texture features and edge information well.


Volume 8, Issue 4
November 2020
Pages 815-826
  • Receive Date: 25 February 2018
  • Revise Date: 04 August 2019
  • Accept Date: 25 August 2019
  • First Publish Date: 01 November 2020