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Speckle Noise Reduction of Medical Ultrasound Images using Bayesshrink Wavelet Threshold

by K. Karthikeyan, Dr. C. Chandrasekar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 22 - Number 9
Year of Publication: 2011
Authors: K. Karthikeyan, Dr. C. Chandrasekar
10.5120/2614-3646

K. Karthikeyan, Dr. C. Chandrasekar . Speckle Noise Reduction of Medical Ultrasound Images using Bayesshrink Wavelet Threshold. International Journal of Computer Applications. 22, 9 ( May 2011), 8-14. DOI=10.5120/2614-3646

@article{ 10.5120/2614-3646,
author = { K. Karthikeyan, Dr. C. Chandrasekar },
title = { Speckle Noise Reduction of Medical Ultrasound Images using Bayesshrink Wavelet Threshold },
journal = { International Journal of Computer Applications },
issue_date = { May 2011 },
volume = { 22 },
number = { 9 },
month = { May },
year = { 2011 },
issn = { 0975-8887 },
pages = { 8-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume22/number9/2614-3646/ },
doi = { 10.5120/2614-3646 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:08:55.468970+05:30
%A K. Karthikeyan
%A Dr. C. Chandrasekar
%T Speckle Noise Reduction of Medical Ultrasound Images using Bayesshrink Wavelet Threshold
%J International Journal of Computer Applications
%@ 0975-8887
%V 22
%N 9
%P 8-14
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In diagnosis of diseases Ultrasonic devices are frequently used by healthcare professionals. The main problem during diagnosis is the distortion of visual signals obtained which is due to the consequence of the coherent of nature of the wave transmitted. These distortions are termed as ‘Speckle Noise’. The present study focuses on proposing a technique to reduce speckle noise from ultrasonic devices. This technique uses a hybrid model that combines fourth order PDE based anisotropic diffusion, linked with SRAD filter and wavelet based BayesShrink technique. The proposed filter is compared with traditional filters and existing filters using anisotropic diffusion. Experimental results prove that the proposed method is efficient in reaching convergence quickly and producing quality denoised images.

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Index Terms

Computer Science
Information Sciences

Keywords

Anisotropic Diffusion BayesShrink Fourth Order PDE Speckle denoising SRAD Filter Wavelet Based

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