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Biomedical Ultrasound Image Enhancement using SRAD

Published on June 2013 by Madhuri Gedam, Hetal Amrutia, Nabnita Mandal
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International Conference and workshop on Advanced Computing 2013
Foundation of Computer Science USA
ICWAC - Number 2
June 2013
Authors: Madhuri Gedam, Hetal Amrutia, Nabnita Mandal
f09dee26-5f4a-4f16-8ca8-6316e61c9c18

Madhuri Gedam, Hetal Amrutia, Nabnita Mandal . Biomedical Ultrasound Image Enhancement using SRAD. International Conference and workshop on Advanced Computing 2013. ICWAC, 2 (June 2013), 0-0.

@article{
author = { Madhuri Gedam, Hetal Amrutia, Nabnita Mandal },
title = { Biomedical Ultrasound Image Enhancement using SRAD },
journal = { International Conference and workshop on Advanced Computing 2013 },
issue_date = { June 2013 },
volume = { ICWAC },
number = { 2 },
month = { June },
year = { 2013 },
issn = 2249-0868,
pages = { 0-0 },
numpages = 1,
url = { /proceedings/icwac/number2/487-1324/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and workshop on Advanced Computing 2013
%A Madhuri Gedam
%A Hetal Amrutia
%A Nabnita Mandal
%T Biomedical Ultrasound Image Enhancement using SRAD
%J International Conference and workshop on Advanced Computing 2013
%@ 2249-0868
%V ICWAC
%N 2
%P 0-0
%D 2013
%I International Journal of Applied Information Systems
Abstract

In this paper we present Speckle Reducing Anisotropic Diffusion (SRAD) technique that uses wavelet decomposition. This technique is able to preserve and enhance edges while smoothing homogeneous regions in ultrasound images. SRAD is applied on various real biomedical ultrasound images with different number of iterations. The performance of SRAD filter is found to be much better than conventional Lee, Frost filters. SRAD gives less MSE, higher PSNR and better FOM. The experiemental results show that this technique works effectively both in terms of speckle reduction, edge preservation and edge enhancement.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image Enhancement SRAD