Research Article
A Histogram based Hybrid Approach for Medical Image Denoising using Wavelet and Curvelet Transforms
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 74 - Issue 21 |
| Published: July 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 },
year = { 2013 },
volume = { 74 },
number = { 21 },
pages = { 6-11 },
doi = { 10.5120/13040-0053 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%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%T
%J International Journal of Computer Applications
%V 74
%N 21
%P 6-11
%R 10.5120/13040-0053
%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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