Parameters identification for a nonlinear partial differential equation in image denoising
01 lut 2023
O artykule
Data publikacji: 01 lut 2023
Zakres stron: 141 - 153
Otrzymano: 16 cze 2022
Przyjęty: 27 paź 2022
DOI: https://doi.org/10.2478/mjpaa-2023-0010
Słowa kluczowe
© 2023 A. El Mourabit, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
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.