3D Wavelet Sub-Bands Mixing for Image Denoising (2008)
BibTeX
@MISC{Kervrann083dwavelet,
author = {Charles Kervrann and Christian Barillot and et al.},
title = {3D Wavelet Sub-Bands Mixing for Image Denoising},
year = {2008}
}
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Abstract
A critical issue in image restoration is the problem of noise removal while keeping the integrity of relevant image information. The method proposed in this paper is a fully automatic 3D blockwise version of the Non Local (NL) Means filter with wavelet sub-bands mixing. The proposed wavelet sub-bands mixing is based on a multi-resolution approach for improving the quality of image denoising filter. Quantitative validation was carried out on synthetic datasets generated with the BrainWeb simulator. The results show that our NL-means filter with wavelet sub-bands mixing outperforms the classical implementation of the NL-means filter in terms of denoising quality and computation time. Comparison with wellestablished methods, such as non linear diffusion filter and total variation minimization, shows that the proposed NL-means filter produces better denoising results. Finally, qualitative results on real data are presented.
