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• W2946402293 startingPage "5834" @default.
• W2946402293 abstract "The multiframe image super-resolution (SR) has appeal great care due to its relevant practical applications. Since the SR methods are always considered as ill-posed problems, great interest is therefore investigated to reconstruct an image with less artefacts. In this paper, we propose a high-order partial differential equation (PDE) that preserve singularities and edge continuities while smoothing. This PDE is based on anisotropic diffusion behavior by adding some constraints to the Weickert coherence enhancing diffusion tensor in order to control the diffusion process near edges and avoids tiny corners destruction. In fact, this PDE combine between the diffusion process of Perona–Malik in the flat regions and the anisotropic diffusion of the Weickert model near strong edges. Moreover, the introduction of the high-order derivatives reduces unwanted artifacts such as staircasing. The given experimental results show the effectiveness of the proposed PDE compared to some competitive methods in both visually and quantitatively." @default.
• W2946402293 created "2019-05-29" @default.
• W2946402293 creator A5057331261 @default.
• W2946402293 creator A5083799091 @default.
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• W2946402293 date "2019-07-01" @default.
• W2946402293 modified "2023-09-30" @default.
• W2946402293 title "An edge preserving high-order PDE for multiframe image super-resolution" @default.
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• W2946402293 doi "https://doi.org/10.1016/j.jfranklin.2019.02.032" @default.
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