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Parameters identification for a nonlinear partial differential equation in image denoising Cover

Parameters identification for a nonlinear partial differential equation in image denoising

By: A. El Mourabit  
Open Access
|Feb 2023

Abstract

In this work and in the context of PDE constrained optimization problems, we are interested in identification of a parameter in the diffusion equation proposed in [1]. We propose to identify this parameter automatically by a gradient descent algorithm to improve the restoration of a noisy image. Finally, we give numerical results to illustrate the performance of the automatic selection of this parameter and compare our numerical results with other image denoising approaches or algorithms.

Language: English
Page range: 141 - 153
Submitted on: Jun 16, 2022
Accepted on: Oct 27, 2022
Published on: Feb 1, 2023
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 3 issues per year

© 2023 A. El Mourabit, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.