2020
DOI: 10.3390/math8112019
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Imaging Noise Suppression: Fourth-Order Partial Differential Equations and Travelling Wave Solutions

Abstract: In this paper, we discuss travelling wave solutions for image smoothing based on a fourth-order partial differential equation. One of the recurring issues of digital imaging is the amount of noise. One solution to this is to minimise the total variation norm of the image, thus giving rise to non-linear equations. We investigate the variational properties of the Lagrange functionals associated with these minimisation problems.

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Cited by 4 publications
(2 citation statements)
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“…The classical heat equation has appeared in many studies [26,27], and a fourth-order nonlocal heat model was recently explored in [28]. Indeed, we showcase here that the heat equation is of the most useful of PDEs.…”
Section: The Heat Equationmentioning
confidence: 64%
“…The classical heat equation has appeared in many studies [26,27], and a fourth-order nonlocal heat model was recently explored in [28]. Indeed, we showcase here that the heat equation is of the most useful of PDEs.…”
Section: The Heat Equationmentioning
confidence: 64%
“…The HTE admits a fundamental solution in terms of the Gaussian function and many studies of parabolic PDEs involve the HTE [36,37]. The HTE offers many benefits, but primarily, we focus on its symmetry properties.…”
Section: The Heat Transfer Equationmentioning
confidence: 99%