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A nonlinear second order problem involving nonlocal diffusion for image processing

delete2026-04-21
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PRE
AI
F
Fatiha Bendaida
F
Fahd Karami *
D
Driss Meskine
K
Khadija Sadik
L
Lamia Ziad
DOI:10.1007/s40314-026-03747-9delete
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Abstract

Abstract

En 中文
In this paper, we study a second-order nonlinear problem involving non-local diffusion for image processing. The proposed model is derived by interpreting the dynamics of image processing as damped elastic deformation. This approach highlights the link between the second-order model and accelerated methods for the associated energy. Using Schauder’s fixed point theorem, we prove the well-posedness of the solution of the proposed model. The model is discretized and its solution calculated using the finite difference method. To illustrate the efficiency of our model, we perform denoising experiments and compare the results with existing models in the literature.
Keywords:
Second order time derivation
Nonlocal diffusion
Image denoising
Schauder fixed point theorem

Journal

C
Computational and Applied Mathematics
IF:
0
Papers:
266
Citations:
0

Organization

C
Cadi Ayyad University
Scholars:
129
Papers: 60
Citations: 3.0K
Cited Papers

Cited Papers

Deblurring and Denoising of Images by Nonlocal Functionals
err2005-01-01
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PREAI
errStefan Kindermann; Stanley Osher; Peter W. Jones
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Image Selective Smoothing and Edge Detection by Nonlinear Diffusion
err1992-02-01
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PREAI
errFrancine Catté; Pierre-Louis Lions; Jean-Michel Morel; Tomeu Coll
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