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


Vol. 38,  No. 12, pp. 998-1012, Dec.  2013


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  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.

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  Cite this article

[IEEE Style]

Y. Cha and S. Kim, "Equalized Net Diffusion (END) for the Preservation of Fine Structures in PDE-based Image Restoration," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 12, pp. 998-1012, 2013. DOI: .

[ACM Style]

Youngjoon Cha and Seongjai Kim. 2013. Equalized Net Diffusion (END) for the Preservation of Fine Structures in PDE-based Image Restoration. The Journal of Korean Institute of Communications and Information Sciences, 38, 12, (2013), 998-1012. DOI: .

[KICS Style]

Youngjoon Cha and Seongjai Kim, "Equalized Net Diffusion (END) for the Preservation of Fine Structures in PDE-based Image Restoration," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 12, pp. 998-1012, 12. 2013.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880