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A Combined Dual-Tree Complex Wavelet (DT-CWT) and Bivariate Shrinkage for Ultrasound Medical Images Despeckling

by Romain Mavudila Kongo, Mohammed Cherkaoui, Lhousaine Masmoudi, Najem Hassanain
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 49 - Number 14
Year of Publication: 2012
Authors: Romain Mavudila Kongo, Mohammed Cherkaoui, Lhousaine Masmoudi, Najem Hassanain
10.5120/7698-1033

Romain Mavudila Kongo, Mohammed Cherkaoui, Lhousaine Masmoudi, Najem Hassanain . A Combined Dual-Tree Complex Wavelet (DT-CWT) and Bivariate Shrinkage for Ultrasound Medical Images Despeckling. International Journal of Computer Applications. 49, 14 ( July 2012), 42-49. DOI=10.5120/7698-1033

@article{ 10.5120/7698-1033,
author = { Romain Mavudila Kongo, Mohammed Cherkaoui, Lhousaine Masmoudi, Najem Hassanain },
title = { A Combined Dual-Tree Complex Wavelet (DT-CWT) and Bivariate Shrinkage for Ultrasound Medical Images Despeckling },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 49 },
number = { 14 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 42-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume49/number14/7698-1033/ },
doi = { 10.5120/7698-1033 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:46:17.564948+05:30
%A Romain Mavudila Kongo
%A Mohammed Cherkaoui
%A Lhousaine Masmoudi
%A Najem Hassanain
%T A Combined Dual-Tree Complex Wavelet (DT-CWT) and Bivariate Shrinkage for Ultrasound Medical Images Despeckling
%J International Journal of Computer Applications
%@ 0975-8887
%V 49
%N 14
%P 42-49
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, an efficient DT-CWT based method for medical ultrasound images despeckling is presented. The ultrasound images are often deteriorated by speckle noise, this noise is a random granular texture that obscures anatomy in ultrasound images and degrades the detectability of low-contrast lesions. Speckle noise occurrence is often undesirable, since it affects the tasks of human interpretation and diagnosis. Different from many other schemes with wavelet transform are used on one side in which the studies have dealt more with the standard DWT case. However, the Discrete Wavelet Transform (DWT) has some disadvantages that undermine its application in image processing. In this study we investigated a performances complex wavelet transform (DT-CWT) combined with Bivariate Shrinkage. The proposed method was tested on a noisy ultrasound medical image, and the restored images show a great effectiveness of DT-CWT method compared to the classical DWT.

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Index Terms

Computer Science
Information Sciences

Keywords

Medical image denoising Medical ultrasound speckle noise Dual-tree wavelet transform Complex wavelet Bivariate shrinkage

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