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Article Dans Une Revue IEEE Transactions on Image Processing Année : 2009

Nonlocal means-based speckle filtering for ultrasound images.

Résumé

In image processing, restoration is expected to improve the qualitative inspection of the image and the performance of quantitative image analysis techniques. In this paper, an adaptation of the nonlocal (NL)-means filter is proposed for speckle reduction in ultrasound (US) images. Originally developed for additive white Gaussian noise, we propose to use a Bayesian framework to derive a NL-means filter adapted to a relevant ultrasound noise model. Quantitative results on synthetic data show the performances of the proposed method compared to well-established and state-of-the-art methods. Results on real images demonstrate that the proposed method is able to preserve accurately edges and structural details of the image.
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Dates et versions

inserm-00428524 , version 1 (28-10-2009)
inserm-00428524 , version 2 (28-10-2009)

Identifiants

Citer

Pierrick Coupé, Pierre Hellier, Charles Kervrann, Christian Barillot. Nonlocal means-based speckle filtering for ultrasound images.. IEEE Transactions on Image Processing, 2009, 18 (10), pp.2221-9. ⟨10.1109/TIP.2009.2024064⟩. ⟨inserm-00428524v2⟩
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