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Hauptverfasser: Tong, Yihui, Liu, Wenjie, Guo, Zhichang, Yao, Wenjuan
Format: Preprint
Veröffentlicht: 2024
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Online-Zugang:https://arxiv.org/abs/2412.16676
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author Tong, Yihui
Liu, Wenjie
Guo, Zhichang
Yao, Wenjuan
author_facet Tong, Yihui
Liu, Wenjie
Guo, Zhichang
Yao, Wenjuan
contents This paper investigates a class of degenerate forward-backward diffusion equations with a nonlinear source term, proposed as a model for removing multiplicative noise in images. Based on Rothe's method, the relaxation theorem, and Schauder's fixed-point theorem, we establish the existence of Young measure solutions for the corresponding initial boundary problem. The continuous dependence result relies on the independence property satisfied by the Young measure solution. Numerical experiments illustrate the denoising effectiveness of our model compared to other denoising models.
format Preprint
id arxiv_https___arxiv_org_abs_2412_16676
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A class of forward-backward diffusion equations for multiplicative noise removal
Tong, Yihui
Liu, Wenjie
Guo, Zhichang
Yao, Wenjuan
Analysis of PDEs
This paper investigates a class of degenerate forward-backward diffusion equations with a nonlinear source term, proposed as a model for removing multiplicative noise in images. Based on Rothe's method, the relaxation theorem, and Schauder's fixed-point theorem, we establish the existence of Young measure solutions for the corresponding initial boundary problem. The continuous dependence result relies on the independence property satisfied by the Young measure solution. Numerical experiments illustrate the denoising effectiveness of our model compared to other denoising models.
title A class of forward-backward diffusion equations for multiplicative noise removal
topic Analysis of PDEs
url https://arxiv.org/abs/2412.16676