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A Non-Local Diffusion Equation for Noise Removal

  • School of Mathematics, Harbin Institute of Technology
  • University of California at Irvine

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we propose a new non-local diffusion equation for noise removal, which is derived from the classical Perona-Malik equation (PM equation) and the regularized PM equation. Using the convolution of the image gradient and the gradient, we propose a new diffusion coefficient. Due to the use of the convolution, the diffusion coefficient is non-local. However, the solution of the new diffusion equation may be discontinuous and belong to the bounded variation space (BV space). By virtue of Young measure method, the existence of a BV solution to the new non-local diffusion equation is established. Experimental results illustrate that the new method has some non-local performance and performs better than the original PM and other methods.

Original languageEnglish
Pages (from-to)1779-1808
Number of pages30
JournalActa Mathematica Scientia
Volume42
Issue number5
DOIs
StatePublished - Sep 2022
Externally publishedYes

Keywords

  • 35K59
  • 68U10
  • BV solutions
  • Perona-Malik method
  • image denoising
  • non-local diffusion

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