On a Parabolic-Hyperbolic Filter for Multicolor Image Noise Reduction

Valerii Maltsev; Michael Pokojovy

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arXiv · 1605.01465

On a Parabolic-Hyperbolic Filter for Multicolor Image Noise Reduction

Valerii Maltsev·Michael Pokojovy

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Abstract

We propose a novel PDE-based anisotropic filter for noise reduction in multicolor images. It is a generalization of Nitzberg & Shiota's (1992) model being a hyperbolic relaxation of the well-known parabolic Perona & Malik's filter (1990). First, we consider a `spatial' molifier-type regularization of our PDE system and exploit the maximal $L^{2}$-regularity theory for non-autonomous forms to prove a well-posedness result both in weak and strong settings. Again, using the maximal $L^{2}$-regularity theory and Schauder's fixed point theorem, respective solutions for the original quasilinear problem are obtained and the uniqueness of solutions with a bounded gradient is proved. Finally, the long-time behavior of our model is studied.

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Valerii Maltsev, Michael Pokojovy. 2016-05-05. On a Parabolic-Hyperbolic Filter for Multicolor Image Noise Reduction. https://arxiv.org/abs/1605.01465

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