Research Article
Comparative Study on Noise Reduction in Ultrasound Liver Images
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 66 - Issue 16 |
| Published: March 2013 |
| Authors: Mausumi Maitra, Somnath Dey, Manali Mukherjee |
10.5120/11167-6319
|
Mausumi Maitra, Somnath Dey, Manali Mukherjee . Comparative Study on Noise Reduction in Ultrasound Liver Images. International Journal of Computer Applications. 66, 16 (March 2013), 13-16. DOI=10.5120/11167-6319
@article{ 10.5120/11167-6319,
author = { Mausumi Maitra,Somnath Dey,Manali Mukherjee },
title = { Comparative Study on Noise Reduction in Ultrasound Liver Images },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 66 },
number = { 16 },
pages = { 13-16 },
doi = { 10.5120/11167-6319 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Mausumi Maitra
%A Somnath Dey
%A Manali Mukherjee
%T Comparative Study on Noise Reduction in Ultrasound Liver Images%T
%J International Journal of Computer Applications
%V 66
%N 16
%P 13-16
%R 10.5120/11167-6319
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The gray scale digital image is an aggression of intensity values, represented in the form of two-dimensional array. But the digital images get corrupted by noise during acquisition and transmission. Noise is termed as any irrelevant data that obscures the authenticity of original data. Several noise removal algorithms are applied to ultrasound images in order to remove/reduce the noise level and improve the visual quality for better diagnoses. In the proposed method three algorithms named Median Filtering, Convolution and Wavelet Transform have been used on different ultrasound images and we have calculated the Relative Signal to Noise Ratio have been calculated for the measurement of image quality performance.
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