Wellposedness of a nonlocal nonlinear diffusion equation of image processing
Patrick Guidotti, Yuanzhen Shao

TL;DR
This paper proves existence and uniqueness for a regularized version of the Perona-Malik image processing equation using advanced mathematical frameworks, ensuring well-posedness for non-smooth initial data.
Contribution
It introduces a novel functional setting based on singular Riemannian manifolds to analyze a degenerate nonlinear diffusion equation in image processing.
Findings
Established existence and uniqueness of solutions
Applied singular Riemannian manifold framework
Extended analysis to non-smooth initial data
Abstract
Existence and uniqueness are established for a degenerate regularization of the well-known Perona-Malik equation proposed by the first author for non-smooth initial data. The results heavily rely on the choice of appropriate functional setting inspired by a recent approach to degenerate parabolic equations via so-called singular Riemannian manifolds introduced by Herbert Amann.
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