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231223s2008 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2008.925305
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|a eng
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|a Plonka, Gerlind
|e verfasserin
|4 aut
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|a Nonlinear regularized reaction-diffusion filters for denoising of images with textures
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|c 2008
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|a Text
|b txt
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 16.09.2008
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|a Date Revised 17.07.2008
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|a published: Print
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|a Citation Status MEDLINE
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|a Denoising is always a challenging problem in natural imaging and geophysical data processing. In this paper, we consider the denoising of texture images using a nonlinear reaction-diffusion equation and directional wavelet frames. In our model, a curvelet shrinkage is used for regularization of the diffusion process to preserve important features in the diffusion smoothing and a wave atom shrinkage is used as the reaction in order to preserve and enhance interesting oriented textures. We derive a digital reaction-diffusion filter that lives on graphs and show convergence of the corresponding iteration process. Experimental results and comparisons show very good performance of the proposed model for texture-preserving denoising
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Ma, Jianwei
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 17(2008), 8 vom: 01. Aug., Seite 1283-94
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|x 1941-0042
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|g year:2008
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|g day:01
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|u http://dx.doi.org/10.1109/TIP.2008.925305
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