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Communication Dans Un Congrès Année : 2007

Image denoising using a Bishrink filter with reduced sensitivity

Résumé

The performance of image denoising algorithms using the Double Tree Complex Wavelet Transform, DT CWT, followed by a local adaptive bishrink filter can be improved by reducing the sensitivity of that filter with the local marginal variance of the wavelet coefficients. In this paper is proposed a solution for the sensitivity reduction based on enhanced diversity. First the advantages and disadvantages of a state-of-the-art denoising solution, based on the association DT CWT -bishrink filter are highlighted. Second a blind noise-suppression method correcting the disadvantages of the bishrink filter, performing a non-linear operation on the data is obtained. Finally, some simulation examples prove the performances of the proposed denoising method.
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Dates et versions

hal-02136684 , version 1 (22-05-2019)

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Citer

Alexandru Isar, Sorin Moga. Image denoising using a Bishrink filter with reduced sensitivity. ISSCS’07 : International symposium on signal, circuits ans systems, Jul 2007, Iasi, Romania. pp.1 - 4, ⟨10.1109/ISSCS.2007.4292746⟩. ⟨hal-02136684⟩
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