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Number 10

A New Despeckling Method in Ultrasonography: Anisotropic Diffusion Filtering Followed by Total Variation Denoising

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  • Kai Wang and Yingjie Liu and Liwen Zhang 2013. A New Despeckling Method in Ultrasonography: Anisotropic Diffusion Filtering Followed by Total Variation Denoising. International Journal of Applied Information Systems. 5, 10 (August 2013), 20-23. DOI=http://dx.doi.org/10.5120/ijais450978 
  • @article{10.5120/ijais2017451568,
author = {Kai Wang and Yingjie Liu and Liwen Zhang},
title = {A New Despeckling Method in Ultrasonography: Anisotropic Diffusion Filtering Followed by Total Variation Denoising},
journal = {International Journal of Applied Information Systems},
issue_date = {August 2013},
volume = {5},
number = {},
month = {August},
year = {2013},
issn = {},
pages = {20-23},
numpages = {},
url = {/archives/volume5/number10/515-0978},
doi = { 10.5120/ijais13-450978},
publisher = { xA9 2012 by IJAIS Journal},
address = {}
}

  • %1 450978
%A Kai Wang
%A Yingjie Liu
%A Liwen Zhang
%T A New Despeckling Method in Ultrasonography: Anisotropic Diffusion Filtering Followed by Total Variation Denoising
%J International Journal of Applied Information Systems
%@ 
%V 5
%N 
%P 20-23
%D 2013
%I  xA9 2012 by IJAIS Journal

Abstract

This paper proposes a novel hybrid method to reduce speckle noise in ultrasonography. This method applies the total variation denoising algorithm to the output image of a recently reported anisotropic diffusion filter. Performance of the proposed method is illustrated using simulated and clinical images. Experimental results indicate the proposed method outperforms the existing despeckling schemes in terms of both speckle reduction and edge preservation.

References

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  2. Perona, P. and Malik, J. 1990. Scale-space and edge detection using anisotropic diffusion. IEEE Trans. Pattern Anal. Mach. Intell. , 12 (7), 629-639.
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  6. Li, C. , Wang, N. , Xiao, C. and Lu, X. 2012. A new speckle reducing anisotropic diffusion for ultrasonic speckle. Acta Automatica Sinica, 38 (3), 412-418.
  7. Rudin, L. , Osher, S. and Fatemi, E. 1992. Nonlinear total variation based noise removal algorithms. Physica D, 60, 259-268.
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Keywords

Speckle, anisotropic diffusion, total variation denoising

Index Terms

Computer Science
Information Sciences