Abstract
Image denoising is a vibrant, fast-growing and emerging branch of mathematics and computer science that has enormous applications in real-world problems. This paper proposes a new anisotropic diffusion model for image denoising, especially in magnetic resonance imaging (MRI), based on a nonlinear reaction–diffusion system. This model is driven by using the decomposition strategy of the \(H^{-1}\) norm, which is suitable for illustrating the small features in the textured image. Using the Schauder fixed point theorem, we have checked the well-posedness of the suggested reaction–diffusion system within a suitable framework. Finally, representative experiments and comparisons to other competitive models are performed to ensure the effectiveness of the proposed model.









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Appendix
Appendix
In this section, we provide some important lemmas, theorems and inequalities used in the proofs:
Theorem 2
(Hölder inequality) Let \(f\in L^{p}(\Omega )\) and \(g\in f\in L^{p'}(\Omega )\) where \(\displaystyle {\frac{1}{p}+\frac{1}{p'}}=1\), with \(1\le p \le \infty \). Then, \(f.g\in L^1(\Omega )\) and
Lemma 2
(Young inequality) Let p, q be positive real numbers satisfying \(\displaystyle {\frac{1}{p}+\frac{1}{q}=1}\). Then, if a,b are nonnegative real numbers,
Theorem 3
(Second Schauder Fixed-Point Theorem (1927)) Suppose that
-
(i)
X is a reflexive, separable B-space;
-
(ii)
The map \(T: M \subseteq X \rightarrow M\) is weakly sequentially continuous, i.e., if \(x_n \rightharpoonup x\) as \(n \rightarrow \infty \), then also \(T\left( x_n\right) \rightharpoonup T(x)\);
-
(iii)
The set M is non-empty, closed, bounded and convex.
Then, T has a fixed point.
Theorem 4
Assume that the continuous functions \(u, \kappa :[0, T] \rightarrow [0, \infty )\) and \(K>0\) satisfy
for all \(t \in [0, T]\). Then,
Theorem 5
(Aubin-Lions-Simon)(see Aubin (1963)) Let E, V and F be Banach spaces such that \(E \subset \) \(V \subset F\), we assume that \(E \hookrightarrow V\) is compact and \(V \hookrightarrow F\) is continuous. For \(1 \le p \le \infty \) and \(1 \le q \le \infty \), let
-
(i)
If \(p<\infty \), the embedding \(W \hookrightarrow L^p(0, T, V)\) is compact.
-
(ii)
If \(p=\infty \) and \(1<q\), then \(W \hookrightarrow {\mathcal {C}}(0, T, V)\) is compact.
Theorem 6
(see Zeidler (2013)) Let E be a Banach space and F be a Hilbert space such that \(E \subset F\); we assume that \(E\hookrightarrow F\) is a continuous and E dense in F. We identify F with its dual space \(F^{\prime }\) (so that \(E \subset F = F^{\prime } \subset E^{\prime }\)). Let \(u \in L^{2}(0,T;E)\), and suppose that \(\partial _t u \in L^{2}(0,T;E^{'})\). Then, \(u \in C(0, T; F)\).
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Hakoume, A.E., Zaabouli, Z., Afraites, L. et al. On a Mathematical Analysis of a Coupled System Adapted to MRI Image Denoising. J Nonlinear Sci 33, 113 (2023). https://doi.org/10.1007/s00332-023-09969-z
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DOI: https://doi.org/10.1007/s00332-023-09969-z