<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The aim of this paper is to present the mathematical and numerical study of a nonlocal nonlinear model based on the variable exponent <italic>p</italic>(<italic>x</italic>)-Laplacian for removing Cauchy noise, which is a type of impulsive and non-Gaussian degradation. The proposed model benefits from the performance of the nonlocal approach to preserve small details and textures, and the efficiency of the variable exponent to reduce the execution time. To demonstrate the reliability of our proposed model, we provide some experimental denoising results and illustrate the comparison with some models from the literature.</p>
</abstract>

The aim of this paper is to present the mathematical and numerical study of a nonlocal nonlinear model based on the variable exponent p(x)-Laplacian for removing Cauchy noise, which is a type of impulsive and non-Gaussian degradation. The proposed model benefits from the performance of the nonlocal approach to preserve small details and textures, and the efficiency of the variable exponent to reduce the execution time. To demonstrate the reliability of our proposed model, we provide some experimental denoising results and illustrate the comparison with some models from the literature.

A Nonlocal Model for Reconstructing Images Corrupted by Cauchy Noise

Moroccan Journal of Pure and Applied Analysis

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"A Nonlocal Model for Reconstructing Images Corrupted by Cauchy Noise"}

The aim of this paper is to present the mathematical and numerical study of a nonlocal nonlinear model based on the variable exponent p(x)-Laplacian for...

A Nonlocal Model for Reconstructing Images Corrupted by Cauchy Noise

Online veröffentlicht: 01. Feb. 2023

Seitenbereich: 48 - 64

Eingereicht: 11. Okt. 2022

Akzeptiert: 20. Nov. 2022

DOI: https://doi.org/10.2478/mjpaa-2023-0003

Schlüsselwörter
Cauchy noise, Image processing, Optimization

© 2023 F. Bendaida, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

A Nonlocal Model for Reconstructing Images Corrupted by Cauchy Noise

Online veröffentlicht: 01. Feb. 2023

Seitenbereich: 48 - 64

Eingereicht: 11. Okt. 2022

Akzeptiert: 20. Nov. 2022

DOI: https://doi.org/10.2478/mjpaa-2023-0003

SchlüsselwörterCauchy noise, Image processing, Optimization

© 2023 F. Bendaida, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Cauchy noise, Image processing, Optimization