International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 74 - Issue 21 |
Published: July 2013 |
Authors: K. S. Tamilselvan, G. Murugesan, M. Vinothsaravanan |
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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
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.