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- W2138838925 abstract "The article is concerned with a mathematical modeling which can improve performances of PDE-based restoration models. Most PDE-based restoration models tend to lose fine structures due to certain degrees of nonphysical dissipation. Sources of such an undesirable dissipation are analyzed for total variation-based restoration models. Based on the analysis, the so-called equalized net diffusion (END) modeling is suggested in order for PDE-based restoration models to significantly reduce nonphysical dissipation. It has been numerically verified that the END-incorporated models can preserve and recover fine structures satisfactorily, outperforming the basic models for both quality and efficiency. Various numerical examples are shown to demonstrate effectiveness of the END modeling." @default.
- W2138838925 created "2016-06-24" @default.
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- W2138838925 date "2013-12-31" @default.
- W2138838925 modified "2023-09-25" @default.
- W2138838925 title "Equalized Net Diffusion (END) for the Preservation of Fine Structures in PDE-based Image Restoration" @default.
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- W2138838925 doi "https://doi.org/10.7840/kics.2013.38a.12.998" @default.
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