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Nonlocal means-based speckle filtering for ultrasound images.
Abstract : 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.
Cited literature [52 references]
https://www.hal.inserm.fr/inserm-00428524
Contributor : Pierrick Coupé <>
Submitted on : Wednesday, October 28, 2009 - 7:56:26 PM
Last modification on : Tuesday, March 17, 2020 - 2:09:46 AM
Document(s) archivé(s) le : Saturday, November 26, 2016 - 2:26:13 PM
Contributor : Pierrick Coupé <>
Submitted on : Wednesday, October 28, 2009 - 7:56:26 PM
Last modification on : Tuesday, March 17, 2020 - 2:09:46 AM
Document(s) archivé(s) le : Saturday, November 26, 2016 - 2:26:13 PM
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