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|e rakwb
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|a eng
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| 100 |
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|a Ma, Jianwei
|e verfasserin
|4 aut
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|a Combined curvelet shrinkage and nonlinear anisotropic diffusion
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|c 2007
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|a Text
|b txt
|2 rdacontent
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 31.12.2007
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|a Date Revised 26.10.2019
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|a published: Print
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|a Citation Status MEDLINE
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|a In this paper, a diffusion-based curvelet shrinkage is proposed for discontinuity-preserving denoising using a combination of a new tight frame of curvelets with a nonlinear diffusion scheme. In order to suppress the pseudo-Gibbs and curvelet-like artifacts, the conventional shrinkage results are further processed by a projected total variation diffusion, in which only the insignificant curvelet coefficients or high-frequency part of the signal are changed by use of a constrained projection. Numerical experiments from piecewise-smooth to textured images show good performances of the proposed method to recover the shape of edges and important detailed components, in comparison to some existing methods
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Plonka, Gerlind
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1997
|g 16(2007), 9 vom: 11. Sept., Seite 2198-206
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|x 1941-0042
|7 nnns
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|g volume:16
|g year:2007
|g number:9
|g day:11
|g month:09
|g pages:2198-206
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