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A Histogram based Hybrid Approach for Medical Image Denoising using Wavelet and Curvelet Transforms

by K. S. Tamilselvan, G. Murugesan, M. Vinothsaravanan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 21
Year of Publication: 2013
Authors: K. S. Tamilselvan, G. Murugesan, M. Vinothsaravanan
10.5120/13040-0053

K. S. Tamilselvan, G. Murugesan, M. Vinothsaravanan . A Histogram based Hybrid Approach for Medical Image Denoising using Wavelet and Curvelet Transforms. International Journal of Computer Applications. 74, 21 ( July 2013), 6-11. DOI=10.5120/13040-0053

@article{ 10.5120/13040-0053,
author = { K. S. Tamilselvan, G. Murugesan, M. Vinothsaravanan },
title = { A Histogram based Hybrid Approach for Medical Image Denoising using Wavelet and Curvelet Transforms },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 21 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number21/13040-0053/ },
doi = { 10.5120/13040-0053 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:43:04.587272+05:30
%A K. S. Tamilselvan
%A G. Murugesan
%A M. Vinothsaravanan
%T A Histogram based Hybrid Approach for Medical Image Denoising using Wavelet and Curvelet Transforms
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 21
%P 6-11
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Medical images are analyzed for the diagnosis of various diseases like cancer, tumor and fracture etc. . . But, they are susceptible to different types of noises called as Gaussian noise, Speckle noise, Uniform noise, Impulse noise, etc. . . Therefore it is an important task to remove the noise from medical images especially in MRI,CT, PET,SPECT, Digital Mammogram and Ultrasound images. Selection of appropriate filter is a tough task. In this paper, we propose a technique that uses Wavelet Transform and Curvelet Transform for denoising the medical images based on the Histogram equalization.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Medical images Speckle noise Impulse noise MRI CT PET SPECT Digital Mammogram Ultrasound images Wavelet Transform Curvelet Transform and Histogram equalization

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