• Title/Summary/Keyword: non-convex (NC) model

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Equalized Net Diffusion (END) for the Preservation of Fine Structures in PDE-based Image Restoration

  • Cha, Youngjoon;Kim, Seongjai
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.12
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    • pp.998-1012
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    • 2013
  • 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.