Paper
30 October 2009 Normalized wavelet diffusion for speckle reduction on 3D ultrasound image
Shengwen Guo, Jinshan Tang, Evelin Cuadra
Author Affiliations +
Proceedings Volume 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 74971R (2009) https://doi.org/10.1117/12.831571
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shengwen Guo, Jinshan Tang, and Evelin Cuadra "Normalized wavelet diffusion for speckle reduction on 3D ultrasound image", Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74971R (30 October 2009); https://doi.org/10.1117/12.831571
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Cited by 1 scholarly publication.
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KEYWORDS
Diffusion

Speckle

Wavelets

Ultrasonography

3D image processing

Wavelet transforms

Interference (communication)

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