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Semi-Blind Deconvolution for Resolution Enhancement in Ultrasound Imaging

Abstract : In the field of ultrasound imaging, resolution enhancement is an up-to-date challenging task. Many device-based approaches have been proposed to overcome the low resolution nature of ultrasound images but very few works deal with post-processing methods. This paper investigates a novel approach based on semi-blind deconvolution formulation and alternating direction method framework in order to perform the ultrasound image restoration task. The algorithm performance is addressed using optical images and synthetic ultrasound data for a various range of criteria. The results demonstrate that our technique is more robust to uncertainties in the a priori ultrasonic pulse than classical non-blind deconvolution methods.
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Submitted on : Monday, May 4, 2015 - 1:05:03 PM
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  • HAL Id : hal-01148283, version 1
  • OATAO : 12460


Renaud Morin, Stéphanie Bidon, Adrian Basarab, Denis Kouamé. Semi-Blind Deconvolution for Resolution Enhancement in Ultrasound Imaging. IEEE International Conference on Image Processing - ICIP 2013, Sep 2013, Melbourne, Australia. pp. 1413-1417. ⟨hal-01148283⟩



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