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Proceedings Paper

Normalized wavelet diffusion for speckle reduction on 3D ultrasound image
Author(s): Shengwen Guo; Jinshan Tang; Evelin Cuadra
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Paper Abstract

A new speckle reduction method for ultrasonic images is presented. The proposed approach exploits the knowledge of multiplicative speckle model and a regularization scheme is applied to diffusion processing. The nonlinear diffusion is integrated with dyadic wavelet transform. Experimental results show the new algorithm can not only reduce speckle effectively, but also preserve and even enhance edge and details.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74971R (30 October 2009); doi: 10.1117/12.831571
Show Author Affiliations
Shengwen Guo, Alcorn State Univ. (United States)
South China Univ. of Technology (China)
Jinshan Tang, Alcorn State Univ. (United States)
Evelin Cuadra, Alcorn State Univ. (United States)


Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Faxiong Zhang; Faxiong Zhang, Editor(s)

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