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Equalized Net Diffusion (END) for the Preservation of Fine Structures in PDE-based Image Restoration
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  • Equalized Net Diffusion (END) for the Preservation of Fine Structures in PDE-based Image Restoration
  • Equalized Net Diffusion (END) for the Preservation of Fine Structures in PDE-based Image Restoration
저자명
Cha. Youngjoon,Kim. Seongjai
간행물명
한국통신학회논문지. The journal of Korea Information and Communications Society. 무선통신
권/호정보
2013년|12호|pp.998-1012 (15 pages)
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한국통신학회
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정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

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.