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

Kai Wang, Yingjie Liu, Liwen Zhang Published in Signal Processing

International Journal of Applied Information Systems
Year of Publication: 2013
© 2012 by IJAIS Journal
10.5120/ijais13-450978
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  1. Kai Wang, Yingjie Liu and Liwen Zhang. Article: A New Despeckling Method in Ultrasonography: Anisotropic Diffusion Filtering Followed by Total Variation Denoising. International Journal of Applied Information Systems 5(10):20-23, August 2013. BibTeX

    @article{key:article,
    	author = "Kai Wang and Yingjie Liu and Liwen Zhang",
    	title = "Article: A New Despeckling Method in Ultrasonography: Anisotropic Diffusion Filtering Followed by Total Variation Denoising",
    	journal = "International Journal of Applied Information Systems",
    	year = 2013,
    	volume = 5,
    	number = 10,
    	pages = "20-23",
    	month = "August",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

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.

Reference

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Keywords

Speckle, anisotropic diffusion, total variation denoising