Sigmoid shrinkage for BM3D denoising algorithm

In this work we propose a modified version of the BM3D algorithm recently introduced by Dabov et al. for the denoising of images corrupted by additive white Gaussian noise. The original technique performs a multipoint filtering, where the nonlocal approach is combined with the wavelet shrinkage of a...

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Bibliographic Details
Published in2010 IEEE International Workshop on Multimedia Signal Processing pp. 423 - 426
Main Authors Poderico, M, Parrilli, S, Poggi, G, Verdoliva, L
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2010
Subjects
Amplitude modulation
Image denoising
Noise reduction
PSNR
Three dimensional displays
Wavelet transforms
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Summary:In this work we propose a modified version of the BM3D algorithm recently introduced by Dabov et al. for the denoising of images corrupted by additive white Gaussian noise. The original technique performs a multipoint filtering, where the nonlocal approach is combined with the wavelet shrinkage of a 3D cube composed by similar patches collected by means of block-matching. Our improvement concerns the thresholding of wavelet coefficients, which are subject to a different shrinkage depending on their level of sparsity. The modified algorithm is more robust with respect to block matching errors, especially when noise is high, as proved by experimental results on a large set of natural images.
ISBN:1424481104
9781424481101
DOI:10.1109/MMSP.2010.5662058