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Nonlinear Regularized Reaction-Diffusion Filters for Denoising of Images With Textures

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2 Author(s)
Gerlind Plonka ; Dept. of Math., Univ. of Duisburg- Essen, Duisburg ; Jianwei Ma

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.

Published in:

IEEE Transactions on Image Processing  (Volume:17 ,  Issue: 8 )