2020
DOI: 10.3934/dcdsb.2019188
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A nonlinear fourth-order PDE for multi-frame image super-resolution enhancement

Abstract: The multiframe super-resolution (SR) techniques are considered as one of the active research fields. More precisely, the construction of the desired high resolution (HR) image with less artifacts in the SR models, which are always ill-posed problems, requires a great care. In this paper, we propose a new fourth-order equation based on a diffusive tensor that takes the benefit from the diffusion model of Perona-Malik in the flat regions and the Weickert model near boundaries with a high diffusion order. As a re… Show more

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Cited by 6 publications
(3 citation statements)
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References 66 publications
(109 reference statements)
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“…Fourth-order PDEs are very useful in different fields of science, such as engineering [42][43][44], signal processing [45][46][47][48], nuclear physics [49,50], etc. As an example, these kind of PDEs arise in traveling waves of suspension bridges.…”
Section: Introductionmentioning
confidence: 99%
“…Fourth-order PDEs are very useful in different fields of science, such as engineering [42][43][44], signal processing [45][46][47][48], nuclear physics [49,50], etc. As an example, these kind of PDEs arise in traveling waves of suspension bridges.…”
Section: Introductionmentioning
confidence: 99%
“…However, when the blur and noise levels are too high, the obtained HR image still contains some artefacts, in particular the blur. More recently a fourth-order nonlinear PDE has been introduced with much more constrained diffusion that stops the edges destruction and preserve the smooth areas and texture [30]. In contrast, the blur apparition problem is still a remaining weakness of this PDE.…”
Section: Introductionmentioning
confidence: 99%
“…However, when the blur and noise levels are too high, the obtained HR image still contains some artefacts, in particular the blur. More recently a fourth-order nonlinear PDE is then introduced with much more constrained diffusion that stops the edges destruction and preserves the smooth areas and texture [11]. In contrast, the blur apparition problem is still a remaining weakness of this PDE.…”
mentioning
confidence: 99%