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Nonlocal Means-Based Speckle Filtering for Ultrasound Images

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4 Author(s)
Coupe, P. ; IRISA, Univ. of Rennes I, Rennes, France ; Hellier, P. ; Kervrann, C. ; Barillot, C.

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.

Published in:

Image Processing, IEEE Transactions on  (Volume:18 ,  Issue: 10 )

Date of Publication:

Oct. 2009

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